14 results about "Motion processing" patented technology

The invention relates to the field of digital image detection and signal processing, and particularly discloses an unmanned aerial vehicle tracking aerial target vehicle trajectory generation method, which comprises the following steps of: constructing a moving target detection neural network model, and performing stage processing on micro, medium and fast moving optical flow features on an input image by the model through a hierarchical cascade optical flow attention mechanism to obtain a moving target detection neural network model; motion processing of video frames is improved using bidirectional timing optical flow enhancement. Inputting a target vehicle video into a model to obtain a center coordinate of a target vehicle detection frame in each frame as a position coordinate of a vehicle, and connecting the position coordinates according to a time sequence to form a preliminary track; performing decoupling compensation of the motion of the unmanned aerial vehicle on the initial track through a multi-scale adaptive dense optical flow algorithm; performing coordinate transformation to obtain a roughly estimated trajectory of the trajectory after decoupling compensation in a geodetic coordinate system; and identifying an abnormal frequency through wavelet transform, removing noise points by using Lagrange interpolation, and de-noising by applying extended Kalman filtering to generate an accurate trajectory of the target vehicle.

This invention provides a method for 3D reconstruction of panoramic images based on 3DGS, which relates to the fields of computer vision and image processing. The method comprises: Step 1: Acquiring a sequence of panoramic images of the scene to be reconstructed and uniformly encoding them via equirectangular projection to obtain a coded dataset; Step 2: Performing panoramic structure-from-motion processing on the coded dataset to generate six-degree-of-freedom camera pose parameters for each image and a corresponding sparse 3D point cloud. This method achieves high-precision and high-efficiency 3D reconstruction of panoramic scenes, capable of outputting high-quality panoramic images or dense 3D models, improving both the quality and efficiency of 3D reconstruction.

A communication robot includes an auditory information processing portion configured to recognize a volume of voice collected by a sound collection portion and generate an auditory attention map by projecting a sound position in a three-dimensional space onto a two-dimensional attention map in which the robot is located at a center, a visual information processing portion configured to generate a visual attention map using a face detection result obtained by detecting a face of a person from an image captured by an imaging portion and a motion detection result obtained by detecting a motion of the person, an attention map generation portion configured to generate an attention map by integrating the auditory attention map and the visual attention map, and a motion processing portion configured to control eyeball movements and motions of the communication robot using the attention map.

The invention discloses a data processing method for 3D movie frame insertion and computer equipment, and the method comprises the steps: obtaining a high-frame-rate 2D movie source, carrying out the data collection and motion processing of the 2D movie source, and constructing a first type of data containing inter-frame motion information; acquiring a low-frame-rate 3D film source, performing data acquisition on the 3D film source, and constructing a second type of data including spatial information; a 3D high-frame-rate film source is obtained, a third type of data containing motion information and space information is obtained according to the 3D high-frame-rate film source, and the number of the third type of data is smaller than that of the first type of data and that of the second type of data; and fusing the first type of data, the second type of data and the third type of data to obtain the data set for training the 3D movie frame insertion model. According to the invention, reasonable data set support can be provided for the frame insertion work of the 3D movie, and the consistency and stability of the frame insertion process of the 3D movie are improved.

The utility model relates to the technical field of circuits, in particular to a magic wand which comprises a magic wand main body, the magic wand main body is provided with a main control module, and an infrared sensing module, a communication module, an RGB module, a sound sensing module, a motion processing module and a vibration motor module which are respectively and electrically connected with the main control module, complex interaction is achieved through various sensors, an infrared detection function is adopted to perceive obstacles, a gesture sensing or approaching triggering function is achieved, the magic wand can automatically activate a specific effect when approaching an object, an MPU-6050 six-axis sensing chip is adopted to monitor the inclination angle, the acceleration and the waving direction of the magic wand in real time, and the magic wand can automatically activate the specific effect when approaching the object. Diversified gesture control is achieved, different lighting effects and vibration feedback are triggered, corresponding magic effects are triggered by detecting environment sound, and the immersion of a user is enhanced.

Soundproof chamber construction equipment (100, 200, 300), comprising: an audio procurement unit (101, 201) that procures audio data that includes audio from a variety of sound sources; a sound source identification unit (102, 202) which, based on the audio data, determines a plurality of sound source positions as positions of the plurality of sound sources; an audio extraction unit (103) that generates a multitude of pieces of extraction audio data by extracting audio represented by the audio data with respect to each sound source and generating the extraction audio data representing the extracted audio; a format conversion unit (104) that generates a multitude of stereophonic tones corresponding to the multitude of sound sources by converting a format of the multitude of pieces of extraction audio data into a stereophonic audio format; a position procurement unit (105) that procures a listening position as a position at which audio is listened to; a motion processing unit (106) that calculates an angle and distance between the listening position and each of the multitude of sound source positions; an angle-distance adjustment unit (107) that adjusts each of the plurality of stereophonic tones using the angle and distance according to each of the plurality of sound source positions, thereby producing a plurality of set stereophonic tones as a plurality of stereophonic tones at the listening position; and a superposition unit (108, 308) that superimposes the multitude of set stereophonic tones.

The invention discloses a bicycle turning warning system based on a digital motion processing algorithm, which relates to the technical field of bicycle turning warning and comprises a motion sensor module, a digital motion processing module, a microcontroller module, a Zigbee module, an alarm module and a power supply module. The motion sensor module comprises a pitch angle sensor, a roll angle sensor, a yaw angle sensor and an angular acceleration sensor; the 32-bit microcontroller based on the ARM Cortex core is matched with the MPU-60X0 integrated 9-axis motion processing sensor, when a bicycle is steered and braked, the received three-axis angular velocity sensor is utilized, when the three-axis angular velocity sensor is connected to a three-axis magnetometer, digital motion processing is used for resolving the acquired attitude angle and controlling the turn light to be turned on and off, and therefore the steering effect of the bicycle is improved. The problem that a bicycle lacks a turning signal system is solved, and a driver and pedestrians on a road can obtain the road turning intention of a rider in real time.

A method and an apparatus for processing a motion in a virtual scene, an electronic device, a computer-readable storage medium, and a computer program product are provided.SOLUTION: Displaying a passable obstacle, a virtual object and an operation control in a virtual scene, displaying an option corresponding to each of at least two movement manners in response to a pressing operation on the operation control, receiving a trigger operation in response to a selection operation on the option, and selecting a movement manner corresponding to the option, and when a distance between the virtual object and the passable obstacle is less than a preset distance, controlling the virtual object to move in the selected movement manner relative to the passable obstacle in response to the trigger operation.SELECTED DRAWING: Figure 3

To provide a care recipient monitoring device and system that respects the privacy of the care recipient while continuously monitoring their sleep / bedtime state and any abnormal situations without restraint or contact, and facilitates continuous monitoring and remote monitoring with a small amount of transmitted data. [Solution] The system comprises an imaging device 2 having an event sensor that outputs an event signal only when the brightness change of each pixel exceeds a predetermined threshold in the sleeping image of the person being cared for 1, a body movement processing means 8 that detects the body movements of the person being cared for while they are sleeping using the event signal, and a caregiver's terminal device 4. The body movement processing means 8 generates an event image by grouping the event signals in a predetermined integral time unit shorter than the duration of one frame of the monitor display image, and based on the generated event image, it observes the sleep state of the person being cared for 1 based on changes in their body movements and detects abnormal conditions. If an abnormal situation occurs, an alert signal is generated to the caregiver's terminal device 5.

The present invention provides a method, device, and robot for tracking a human target. The method comprises: obtaining a depth image and a normal image of the human target at the current time; processing the depth image to obtain corresponding depth image tracking information; processing the normal image to obtain corresponding normal image tracking information; comprehensively determining current tracking information based on the depth image tracking information and the normal image tracking information, and updating the human target tracking information based on the valid current tracking information; tracking the human target based on the human target tracking information; wherein, if the depth image tracking information detects a human body, but the normal image tracking information does not detect a human body, the human body detected by the depth camera is deemed to be false, and the current tracking information is invalid. The present invention improves the accuracy of human recognition, reduces the occurrence of tracking errors during the tracking process, optimizes motion processing, and avoids lag or deadlock during motion.

The invention provides a data set screening method and system for video super-resolution, and the method comprises the steps: screening an original video based on the video resolution and the number of frames, and extracting a video of which the short edge exceeds a set pixel and the number of frames exceeds a set frame; the screened video is detected and segmented, and fragments with the frame number smaller than the set frame number are removed; performing quality evaluation on the plurality of reserved video clips of which the frame number is greater than or equal to the set frame number, and removing the clips which do not meet the quality requirement; and carrying out motion processing on the reserved fragments meeting the quality requirements to obtain final screened fragments, and forming a video super-resolution-oriented data set. According to the method, the data set is constructed through a hierarchical screening mechanism, so that the performance of the model in the video super-resolution task can be remarkably enhanced, the video super-resolution task can be promoted to reach a higher image quality standard, and the requirements of an actual application scene can be better met.

In a medical imaging device equipped with a motion processing function, it is possible to set a threshold for determining body motion, taking into account the different motion conditions depending on the subject and the area being examined, thereby effectively reducing the impact of body motion in medical images in accordance with the subject. [Solution] The medical imaging device of the present invention is equipped with means for setting a threshold for detecting body movement for each subject. Optical images of the subject acquired by an optical imaging device separate from the medical imaging device are used not only to detect the subject's body movement but also to determine the threshold for detecting body movement, and this threshold is used to determine body movement.

The invention discloses a gesture-based input method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a hand movement feature of a user within a first preset time, and obtaining an input tendency of the user based on the hand movement feature of the user within the first preset time; determining a corresponding real-time action processing model according to the input tendency of the user; real-time hand actions of the user are obtained, and the real-time action processing model obtains a corresponding input instruction based on the real-time hand actions. The input method can adapt to input methods used by different users, the use threshold of the user is lowered, and the user experience is improved.

The embodiment of the specification provides a motion processing method and device, wherein the motion processing method comprises the following steps: obtaining a reference motion frame sequence, and generating an initial motion frame sequence; filling the initial motion frame sequence into the reference motion frame sequence according to a preset filling mode to obtain a to-be-processed motion frame sequence; performing denoising processing and motion detection processing on the motion frame based on the to-be-processed motion frame sequence and motion feature parameters by means of a motion processing model to obtain a candidate motion frame sequence and motion interaction data; and performing motion correction processing on the candidate motion frame sequence based on the motion interaction data to obtain a target motion frame sequence.