136 results about "Close-up" patented technology

This application provides a photographing method and a related device. The photographing method may be applied to an electronic device provided with a camera and a display. According to the photographing method, in a photographing scene in which a plurality of photographed objects are photographed together, the electronic device may perform focus tracking on one of the photographed objects, and creates two encoders to respectively encode an original image displayed in a large preview window and a close-up image displayed in a small preview window, to obtain an original video and a close-up video. In some embodiments of this application, the electronic device may obtain one original video and a plurality of close-up videos through photographing.

The invention provides a method for tracking a speaker based on a panoramic camera and a close-up camera. The method comprises the steps that the panoramic camera shoots all people into a panoramic picture; based on a sound source of a speaker and / or analyzing facial actions of all people in the panoramic picture, positioning face position information of the speaker in the panoramic picture; based on the position relation between the panoramic camera and the close-up camera and the face position information of the speaker, the angle and the focal length of the close-up camera are determined, and close-up shooting is carried out on the speaker; the face position of the speaker in the close-up picture is analyzed, and the close-up camera is finely adjusted, so that the speaker is centered in the close-up picture. The position of the speaker is positioned by combining face detection and voice recognition technologies, and the close-up camera picture is triggered to track the close-up picture of the speaker, so that the conference control operation is avoided, and the intelligence of the conference terminal is remarkably improved.

Embodiments of this application provide an encoding and decoding method, an electronic device, a communication system, and a storage medium. The encoding method includes: enabling a first camera lens and a second camera lens after an image shooting instruction sent by a second device is received; encoding a first panoramic image to obtain a first compressed image, where the first panoramic image is any image in a first panoramic image stream; obtaining a first difference image based on the first panoramic image and a first close-up image, where the first close-up image is an image that is in a first close-up image stream and that is collected synchronously with the first panoramic image; encoding the first difference image to obtain a second compressed image; and sending the first compressed image and the second compressed image to the second device. Because a picture of a close-up image is a close-up of a local area on a panoramic image, an amount of data of a difference image is very small, and a picture jitter caused by concurrent I frames does not occur.

A processor set receives data detected from sensor devices associated with an online conference session. The processor set, based on analyzing the data, determines a contribution score for each of a plurality of participants attending the online conference, which is being conducted via the video stream. The contribution score indicates a participant's level of contribution during the online conference session. The processor set controls performing of an automatic close-up of a camera view in the online conference session to a participant having a highest contribution score among the plurality of participants attending the online conference being conducted via the video stream.

The embodiment of the invention provides an operation scene monitoring method and system based on panoramic stitching and holder linkage, and belongs to the technical field of video monitoring. The method comprises the following steps: respectively acquiring real-time panoramic video data and historical video data of an operation scene and a partial discharge signal of high-voltage electrical equipment; simulating electrical disease characteristics of the high-voltage electrical equipment based on the partial discharge signals and the environmental parameters of the real-time panoramic video data; obtaining work prediction information of the real-time panoramic video based on the historical video data and the electrical disease features; calculating deviation information of a real-time panoramic video according to the operation prediction information and the real-time panoramic video data; positioning a risk target area of the operation scene based on the deviation information, and determining a risk early warning signal of the operation scene for the deviation information based on a preset risk rule base; and issuing the risk early warning signal to a pan-tilt camera of the operation scene, and monitoring a close-up monitoring picture of the risk target area in real time. According to the invention, the risk handling efficiency of operation scene monitoring can be improved.

A non-transitory, processor-readable medium stores instructions that, when executed by a processor, cause the processor to receive video-derived detection data associated with a plurality of persons. For a first person from the plurality of persons, a portion of the video-derived detection data associated with the first person is assigned to a first motion track based on a motion model, and a closeup image of the first person is generated based on the portion of video-derived detection data. A quality score is generated based on the closeup image, and the closeup image is assigned to the first motion track based on the quality score. The first motion track is selected from a plurality of motion tracks associated with the plurality of persons. Using a neural network, first identity data is generated based on the closeup image, and the first motion track is updated based on the first identity data.

The invention discloses a multi-camera target duplicate removal method and device, equipment, a storage medium and a program product, and relates to the technical field of computer vision, and the method comprises the steps: obtaining a panoramic image and at least one close-up image; determining an overlapping area of the panoramic image and the close-up image, detecting a first target person in the overlapping area in the panoramic image, and detecting a second target person in the close-up image; performing similarity matching on a first spatial distribution relationship of the first target person in the overlapping region and a second spatial distribution relationship of the second target person in the close-up image to obtain a similarity matching result; and according to a similarity matching result, determining repeated figures and removing the repeated figures from an output picture which is a panoramic image or a close-up image where the repeated figures are located. According to the method and the device, the real-time processing requirement of edge equipment is met while the de-duplication accuracy is guaranteed, and accurate identification and removal of repeated targets in multiple paths of video streams under the condition of limited computing power are realized.

The invention discloses an intelligent video editing optimization system and method based on target audience prediction, and belongs to the technical field of artificial intelligence and digital marketing. According to the method, dynamic analysis of target audience features and real-time adaptation of a video editing strategy are realized through a programmed automatic process, and the problems of high manual dependency, poor cross-culture adaptability, strategy updating lagging and the like in the traditional technology are solved. The method specifically comprises the following steps: calling a third-party platform application program interface to obtain user behavior data, and generating a dynamic audience portrait by using an artificial intelligence large model; shot selection, duration distribution and culture adaptation of video content are optimized through a reinforcement learning algorithm on the basis of portraits, a shot selection module dynamically distributes technical parameter close-up and cost comparison content according to user role types, and a culture adaptation module calls a taboo library to automatically replace sensitive elements; a synchronous test is carried out by generating multiple versions of videos, closed-loop feedback iteration is realized based on a user click rate and a conversion rate index, and an editing strategy is continuously optimized. Compared with a traditional method, the system has the advantages that the cross-culture adaptation precision, the strategy response speed and the user conversion effect of the video content are remarkably improved through cooperation of the artificial intelligence model and the programmed decision engine, and the system is suitable for precision marketing requirements of multiple scenes such as cross-border e-commerce and industrial equipment.

The invention provides a display control method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a first operation, and displaying a combat close-up window in a graphical user interface; displaying a visual angle picture of the target virtual character in the combat close-up window, wherein the visual angle picture comprises the target virtual character and shields at least part of other virtual characters; the other virtual roles are virtual roles except the target virtual role in the plurality of virtual roles; and in response to the second operation, adjusting display parameters of the visual angle picture. Through the method provided by the embodiment of the invention, in a multi-person team combat scene, players can open the combat close-up window through simple operation, watch the combat picture of the target virtual character in real time and freely adjust the display parameters of the visual angle picture, so that the problem of overlapping and shielding of character models in a traditional mode is avoided, the interaction experience is improved, and the user experience is improved. A player can clearly observe combat details; and meanwhile, the richness of combat is increased.

The invention discloses a marketing video generation method and system, a storage medium and electronic equipment, and relates to the technical field of video processing. The method comprises the steps of obtaining a manufacturing instruction of a target marketing product, and determining key features of the product according to additional requirements and product materials; generating a product close-up sequence based on the product materials and the product key features, and generating a scene artistic conception sequence based on the use scene and the product key features in the second path; performing picture segmentation on the product close-up sequence and the scene artistic conception sequence to generate a visual element library; generating a narrative script and an audio script according to the group characteristics of the target audience group and the product key characteristics, arranging the visual element library according to the narrative script, and generating a picture display sequence; generating an audio sequence corresponding to the picture display sequence according to the audio script; and performing time sequence combination on the picture display sequence and the audio sequence to generate a marketing video of the target marketing product. By implementing the technical scheme provided by the invention, the display effect of the marketing video is improved.

The invention discloses a target positioning method and device, video conference equipment and a storage medium, and relates to the technical field of target positioning, and the method comprises the steps: obtaining the position information of human voice; adjusting an image acquired by a lens according to the position information; acquiring a plurality of lip key points of at least one face image of the image, and processing the plurality of lip key points based on a pre-trained lip movement recognition model to determine a lip state of the face image; wherein the lip state comprises a moving state and a static state; when it is determined that the lip state of the at least one face image is a motion state, determining that at least one spokesman exists in the image, and controlling a lens to obtain a close-up picture of the spokesman; the objective of the invention is to solve the technical problem that the existing tracking camera is low in spokesman recognition precision.

The invention discloses a multi-target snapshot method, device and equipment in an examination room environment and a storage medium, and relates to the technical field of computer vision, and the method comprises the steps: detecting the central point coordinate position of each target object in an examination room panoramic top view shot by a panoramic camera; for any target object, determining a to-be-rotated angle of the close-up camera and a field angle required for focusing the close-up camera to the target object based on the central point coordinate position of the target object; and adjusting the close-up camera according to the to-be-rotated angle and the field angle, and capturing the target object through the adjusted close-up camera. According to the method, the binocular camera is installed at the top of the examination room, so that the target object is quickly and accurately captured, the working efficiency of invigilators is improved, meanwhile, the fairness of examinees is ensured, and the effect of efficiently and reliably scanning the examination paper in the remote examination paper marking process is achieved.

The present disclosure relates to a system for monitoring a state of well-being of an individual. The system includes a remotely operating camera-based sensing unit including at least one image sensor arranged to remotely monitor a skin portion of a user and a close-up sensing unit provided at a hand-held personal care appliance. The close-up sensing unit is arranged to monitor a physiological signal of the user. The monitoring of the physiological signal is temporally aligned with the remote monitoring of the skin portion of the user. The system also includes a control unit arranged to process first sensor data provided by the remotely operating camera-based sensing unit and second sensor data provided by the close-up sensing unit.

The present invention belongs to the field of shooting, and provides a shooting method and camera based on multi-camera linkage. The first camera is a fixed wide-angle camera, and tracks and acquires the position of the shooting target in real time. The image processing technology is used to analyze the composition quality and determines an optimal second camera shooting position coordinate. The control module sends a rotation instruction to enable the second camera to track the shooting target in real time, so as to ensure that the shooting target keeps the center position in the close-up image. When it is analyzed that the shooting target occupies the proper proportion and angle in the picture, the second camera is started to track and shoot, and during shooting, the second camera is zoomed and rotated according to the position of the shooting target, so that better image shooting is achieved.

The invention discloses a tracking method and device for shooting teacher close-up pictures, equipment and a storage medium. Wherein. The method comprises the following steps: acquiring a current tracking state; when tracking target shooting is locked according to the face information, when the tracking state is changed from a locked tracking target to a tracking target loss state, executing a first strategy; the first strategy comprises the following steps: enabling the teacher close-up camera to keep a current shooting position for a first preset time length; in a first preset duration, in the teacher close-up picture, an auxiliary mode is used for detection, and the auxiliary mode is human head detection or human body detection; and when the object is detected by using the auxiliary mode, re-locking the object detected by using the auxiliary mode as the tracking target, and switching the teacher close-up camera to lock the tracking target according to the information detected by using the auxiliary mode for shooting.

The invention relates to a logistics packaging video tracing system and method based on data fusion, and relates to the technical field of video monitoring and logistics management. The system comprises a camera module, a coding processing unit, an external data acquisition device and an infrared positioning unit. The coding processing unit receives logistics information of a code scanning gun or an electronic scale, displays the logistics information in a video picture through a character superimposition technology, and establishes a video database by taking a logistics order number as an index; the camera module adopts a binocular or multi-ocular lens and is provided with an infrared positioning unit, when a code scanning signal is received, an infrared light target is used for assisting in positioning, and digital optical hybrid zooming from a wide angle to close-up is triggered. According to the method, automatic zooming, automatic segmented video recording and infrared auxiliary positioning are triggered through code scanning, so that the problems of unclear express sheet information, difficulty in searching and tedious operation of the logistics video in the prior art are solved, and deep binding and quick retrieval of the video and the logistics data are realized.

The invention discloses a target tracking method, electronic equipment and a storage medium. A panoramic image of a current application scene is collected by a first camera, a plurality of candidate targets in the scene are obtained through target detection, and a to-be-tracked target is automatically determined in combination with a recognition result of interaction actions of the candidate targets; and mapping the position of the to-be-tracked target in the panoramic image to a shooting coordinate system of the close-up camera based on double-shooting calibration information between the first camera and the second camera, driving the close-up camera to actively adjust the shooting direction, enabling the to-be-tracked target to quickly enter a shooting view field of the to-be-tracked target, and executing target tracking on the basis. According to the invention, the interaction target can be accurately selected from the panoramic view angle and can be stably and quickly switched to the close-up camera for continuous tracking, automatic switching of the target to be tracked from panoramic perception to close-up tracking is realized, the stability and continuity of the close-up tracking process are improved, and the tracking efficiency is improved. And the application requirements of intelligent shooting and automatic tracking in different scenes are met.

The invention provides an electrical equipment test data acquisition method based on image recognition, and relates to the technical field of intelligent operation and maintenance and digital twinning of electrical equipment, and the method comprises the steps: synchronously acquiring a panoramic video stream of a test site and a close-up video stream driven by a controllable holder; based on real-time analysis of the panoramic video stream, through a dynamic attention control mechanism, a holder is driven to adjust an acquisition target of the close-up video stream, so that the acquisition target is focused on a key instrument or equipment connection point in a current test stage; analyzing the panoramic video stream, identifying a continuous operation behavior of a tester, and comparing the continuous operation behavior with a preset standard test process to generate a process compliance judgment result; and performing association fusion on the reading obtained by analysis and a process compliance judgment result to generate a structured test data record with process context information. According to the invention, the whole test process can be intelligently sensed, the concerned target can be automatically tracked, and the data quality and the operation compliance can be intelligently judged.

The application discloses a method and system for detecting students playing mobile phones. The system comprises a pan-tilt camera arranged at the left and right ends of the back side of a classroom, a shooting control module and an analysis module. The analysis method used by the analysis module comprises the following steps: obtaining close-up pictures of positions of students; performing mobile phone detection and screen-on detection on the close-up pictures; if the mobile phone detection result is that a mobile phone exists and the screen-on detection result is that the mobile phone is in a screen-on state, marking that a student at the position corresponding to the close-up picture is playing a mobile phone. The two pan-tilt cameras are arranged at the left and right ends of the back side of the classroom, so that positions that are difficult to shoot can be ensured to be shot, and the mobile phone detection and the screen-on detection are used for filtering before posture detection, so that the cost can be reduced.

The present application relates to a target recognition method, system, device, computer equipment and storage medium. The method includes: obtaining a depth image obtained by a preset binocular camera cruising and photographing a target scene; wherein, the target scene includes at least one target detection object; based on the position of the target detection object corresponding to the depth image, the target scene is divided into a preset number of recognition areas, and the preset zoom camera is configured with shooting parameters for each recognition area; the zoom camera is controlled to take close-up shots of each recognition area under the shooting parameters to obtain a corresponding close-up image; target recognition processing is performed on the target detection object in the close-up image to obtain recognition results for each target detection object in the target scene. The use of this method can effectively improve the efficiency and accuracy of identifying the detection objects in the target scene, which is conducive to reference and optimization of the subsequent activity behaviors of the target objects.

The embodiment of the application discloses an image acquisition device, a terminal, a method and a storage medium for a video conference, and relates to the technical field of camera terminals. The device comprises: a wide-angle lens for acquiring a first field of view area; a plurality of telephoto lenses symmetrically arranged with respect to the center of the wide-angle lens, the optical axes of the plurality of telephoto lenses intersecting with the optical axis of the wide-angle lens at the same virtual optical center, and the absolute value of the difference between the second field of view area obtained by merging the field of view areas of the plurality of telephoto lenses and the first field of view area being less than a field of view area threshold. The image acquisition device of the embodiment of the application combines the wide-angle lens and the telephoto lens, can improve the field of view coverage rate, can also fuse the telephoto lens and the wide-angle lens to perform lossless magnification on the picture, avoids image distortion caused by different focusing information of different lenses based on the setting of the virtual optical center and the field of view area, and can fuse the telephoto lens to perform magnification close-up in most of the field of view area of the wide-angle lens.

The invention discloses an object recognition method and device, electronic equipment and a storage medium. The object identification method comprises the following steps: in response to a received collaborative identification trigger instruction, acquiring a first original image corresponding to a first target area through a teacher camera; segmenting the first original image based on the object type through a teacher camera to obtain a corresponding first type image and a corresponding second type image; when it is detected that a first type of object stands in the first type of image, object standing identification information matched with the first type of object is sent to a student camera through a teacher camera; and focusing the first type of object matched with the object standing identification information through a student camera based on a predetermined target shooting mode to obtain a corresponding object close-up image. According to the embodiment of the invention, the teacher camera assists the student camera in identifying the standing condition of the first type of object, and the accuracy of identifying whether the first type of object stands is improved.

This application discloses a marine detection device and control method. The marine detection device can be installed on the bottom of unmanned surface vessels (USVs) and other underwater vehicles. During the detection of a real target, the central optical axis of the laser illumination device is kept aligned with the central optical axis of the camera on the seabed, and the laser illumination device is controlled to illuminate the target with a large light output size. After identifying the target element in the detection image, a tracking mode is activated. On the one hand, the central optical axes of both the laser illumination device and the camera are kept aligned with the real target; on the other hand, the laser illumination device is controlled to illuminate the real target with a smaller light output size, and the camera is controlled to adjust its focus to capture a close-up shot of the real target. This application allows for accurate illumination of a large area during detection, facilitating the discovery of the real target through the detection image; during tracking, it facilitates clearer observation of the real target.

This application provides a method, system, equipment, and medium for automatic compliance verification in warehousing scenarios, belonging to the field of intelligent warehouse management technology. The method includes: collecting environmental photos and close-up photos of invoices related to the warehousing operation; performing image recognition on the environmental photos to determine whether they simultaneously contain three key elements: the operator's face, the shape of the goods, and the scale reading; extracting facial features and matching them with a pre-built authorization database; performing OCR recognition on the invoice photos to extract category and weight information, and comparing it with the weighing reading and the entered category; and determining non-compliance and blocking the warehousing process in real time when any key element is missing, the identity is unauthorized, the weight deviation exceeds a threshold, or the category is inconsistent. This invention transforms compliance judgment from post-event manual sampling to real-time control during the process, ensuring the integrity and validity of the stored photos, achieving automatic cross-verification of invoice information and weighing data, effectively preventing misrecording, omissions, and forgery, and reducing regulatory costs.

The present invention relates to a multichannel imaging device and more specifically to a multichannel device wherein each optical channel has at least an optical low-pass angular filter configured to block any light propagating through the optical channel along a direction of propagation having an angle which is greater than a predefined angle θL relative to the optical axis, the low-pass angular filter comprising at least one planar interface, separating a first material having a first refractive index n1 and a second material having a second refractive index n2, the ratio of the second refractive index over the first refractive index being lower than 1, preferably lower than 0.66.

The invention discloses a portrait tracking picture display method, system and device and a storage medium, and the method comprises the steps: receiving and outputting a close-up picture of a first speaker on a video conference device when the first speaker is detected to speak; detecting a new speaking event in a preset time window; if at least one new speaker is detected to speak, synchronously obtaining close-up pictures of the new speakers; and according to the speaking time sequence of the new speakers, sub-display areas are divided for each new speaker in sequence, and the close-up pictures of the speakers are displayed on a display interface of the video conference equipment according to a preset layout rule. According to the invention, the picture display can be dynamically adjusted according to the speaking conditions of the participants, and the picture display effect and user experience of the video conference are improved.

A non-transitory, processor-readable medium stores instructions that, when executed by a processor, cause the processor to receive video-derived detection data associated with a plurality of persons. For a first person from the plurality of persons, a portion of the video-derived detection data associated with the first person is assigned to a first motion track based on a motion model, and a closeup image of the first person is generated based on the portion of video-derived detection data. A quality score is generated based on the closeup image, and the closeup image is assigned to the first motion track based on the quality score. The first motion track is selected from a plurality of motion tracks associated with the plurality of persons. Using a neural network, first identity data is generated based on the closeup image, and the first motion track is updated based on the first identity data.

This application provides a photographing method and a related device. The photographing method may be applied to an electronic device provided with a camera and a display. According to the photographing method, in a photographing scene in which a plurality of photographed objects are photographed together, the electronic device may perform focus tracking on one of the photographed objects, and creates two encoders to respectively encode an original image displayed in a large preview window and a close-up image displayed in a small preview window, to obtain an original video and a close-up video. In some embodiments of this application, the electronic device may obtain one original video and a plurality of close-up videos through photographing.

The application discloses a reservoir short-pile water gauge water level detection method based on improved YOLOv11 and DeepLabV3+, which comprises the following steps: acquiring a panoramic image of a reservoir area and a close-up image of a water gauge character; constructing an improved YOLOv11 model, introducing an RCM module and a CA module in a backbone network and a neck network part, and realizing accurate detection of the number of water gauges and the character area; optimizing a DeepLabV3+ model, replacing the main network thereof with MobileNetV3, and fusing a DenseASPP and a spatial pyramid SP module, so as to realize high-precision segmentation of a water area and a water level line; and establishing a dynamic conversion model of a pixel distance and an actual water level according to a character detection result, so as to effectively eliminate measurement errors caused by a shooting angle and lens distortion. The application significantly improves the automation degree and precision of water level recognition, and is suitable for real-time monitoring of reservoir water levels in a wide range and a multi-angle environment.