487 results about "Image tracking" patented technology

The invention discloses a dynamic target tracking and positioning method of an unmanned plane based on vision, and belongs to the navigation field of the unmanned planes. The dynamic target tracking and positioning method comprises the following steps of: carrying out video processing, dynamic target detecting and image tracking; carrying out cloud deck servo control; establishing a corresponding relationship between a target in the image and a target in the real environment, and further measuring the distance between a camera and a dynamic target to complete precise positioning of the dynamic target; and enabling an unmanned plane control system to fly by automatically tracking the dynamic target on the ground. The dynamic target tracking and positioning method of the unmanned plane based on the vision can automatically realize the movement target detecting, image tracking and optical axis automatic deflecting without the full participation of the people, so that the dynamic target is always displayed at the center of an image-forming plane; and the distance between the unmanned plane and the dynamic target is measured in real time according to an established model on the basis of obtaining the height information of the unmanned plane. Therefore, the positioning of the dynamic target is realized; closed-loop control is formed by using the positioned dynamic target as a feedback signal, so that the tracking flight of the unmanned plane is guided.

Apparatus is described for imaging a portion of a body of a subject that moves as a result of cyclic activity of a body system of the subject and that also undergoes additional motion. An imaging device acquires a plurality of image frames of the portion. A sensor senses a phase of the cyclic activity of the body system. A control unit generates a stabilized set of image frames of the portion by identifying a given phase of the cyclic activity, and outputting a set of the image frames corresponding to image frames of the portion acquired during the given phase, and by image tracking at least the set of image frames to reduce imaged motion of the portion associated with the additional motion. A display displays the stabilized set of image frames of the portion. Other embodiments are also described.

A head mounted display is provided. The head mounted display includes a head attachment portion and a viewing module coupled to the head attachment portion. The viewing module includes an inner portion having a view port into a screen configuring for rendering image content, and an exterior housing. Further included are a plurality illuminating elements integrated with the exterior housing of the viewing module. The plurality of illumination elements defined for image tracking of the head mounted display. Illumination logic is provided for controlling the plurality of illumination elements to be active or inactive during use of the head mounted display.

A system and method for noise cancellation is disclosed herein generally having at least one microphone, a processor, and a speaker array. The processor may contain an adaptive filtering feature, to separate desirable sound from undesirable sound. The undesirable sound may be suppressed by the processor by creating a canceling waveform and transmitting the canceling waveform to the user's head via a speaker array. The desirable sound may be enhanced by increasing the amplitude of the waveform and transmitting the amplified waveform to the user's head via a speaker array. The sound transmitted to the user's head by the system may be localized using an image tracking subsystem and speaker array. The image tracking system may track the actual visible image or alternatively a heat (e.g. infrared) image of the user's head.

The PMP Growth algorithm described herein provides for image tracking, segmentation and processing in environments where the camera system moves around a great deal, i.e., causing image jumps from one image frame to the next. It also is operative in systems where the objects themselves are making quick movements that alter their path. Attributes of the PMP Growth algorithm allow tracking systems using the PMP Growth algorithm to follow objects a long distance in a scene. This detection and tracking method is designed to track objects within a sequence of video image frames, and includes detecting keypoints in a current image frame of the video image frames, assigning local appearance features to the detected keypoints, establishing Point-Motion-Pairs between two successive image frames of the video image frames, and accumulating additional matches between image locations to form complete coherent motion object models of the objects being tracked. The segmentation aspect permits for the discovery of different coherently moving regions in the images.

The present invention relates to a system and method for processing a video input signal providing for tracking a selected portion in a predefined audiovisual presentation and integrating selected user images into the selected portion of the predefined audiovisual presentation.

The invention discloses an active vision human face tracking method and tracking system of a robot; the tracking method comprises the steps that: (1) the mobile robot acquires an environment information image and detects a human face target through an active camera; and (2) after the human face target is detected, the robot tracks the human face target, and maintains the human face target in the center of the image through the active camera and the movement of the robot. The tracking system comprises the active camera, an image tracking module, a movement tracking module, a hierarchy buffer module and a state feedback module. The invention realizes the automatic human face detection and tracking by the robot, overcomes the limitation of a smaller image vision angle and establishes a perception-movement ring of the mobile robot based on active vision by combining the image tracking with the movement tracking, so that the movement scope for human face tracking is expanded to 360 degrees, the all-sided expansion of the tracking scope is ensured. A two-layer buffer region ensures the tracking continuity, so that the human face target is always maintained in the center of the image.

A digital camera system includes an input member for selecting at least one of an individual profile and a group profile and a memory operatively coupled to the input member. The memory includes digital images captured by the digital camera system and a profile information database. The profile information database includes at least one of an individual profile having an individual profile marker and a group profile having a plurality of individual profile markers. A tracking system, operatively coupled to the memory, selectively scans the captured images for images including at least one individual profile marker. A notification system, operatively coupled to the tracking system, provides one of a visual and an audible alarm indicating that less than a pre-selected number of individual profile markers are present in the captured images.

The present invention discloses an image detection method and a device thereof, which is used to solve the problems that the prior art is slow in automobile detection speed and poor in effect. The image detection method provided by the present invention comprises that: a weak feature library is obtained in advance through an edge direction histogram in a set rectangular region in an image, and a rapid automobile classifier based on a hierarchical self-adaptive enhanced classifier and the edge direction histogram is arranged by utilizing the weak feature library; through the edge direction and edge intensity of an input image, the edge direction histogram in the set rectangular region on the input image is calculated; according to the edge direction histogram in the set rectangular region on the input image, an automobile position in the input image is determined by adopting the rapid automobile classifier. The present invention also discloses an image tracking method and a device thereof. The present invention is used to determine automobile positions in images rapidly and accurately.

The invention provides an unfolding method for restoration of a fisheye image, and relates to the restoration and correction of a fisheye image based on the equidistant projection principle of a spherical model. The method comprises the following steps of: establishing a spherical imaging model, consistent with the equidistant projection principle, of the fisheye image(including the establishment of a fisheye image coordinate system and a camera coordinate system); establishing an unfolded window coordinate system and an unfolded image coordinate system, and calculating the relationship between the two coordinate systems; establishing the relationship between the unfolded image coordinate system and the camera coordinate system; calculating the relationship between the unfolded image coordinate system and the fisheye image coordinate system; and finally obtaining a whole image unfolded in any specified direction. The method can overcome the defect of the methods that can unfold only the top part information of fisheye lenses and can not only restore the top part information, but also restore all information in any direction, The method can be applied to the equidistant projection principle based fisheye lenses as well as other projection principle based fisheye lenses, so that the method has a wide application prospect in fields of image tracking, monitoring, video conference and the like.

Camera registration and/or sensor data is updated during a live event by determining a difference between an estimated position of an object in an image and an actual position of the object in the image. The estimated position of the object in the image can be based on an estimated position of the object in the live event, e.g., based on GPS or other location data. This position is transformed to the image space using current camera registration and/or sensor data. The actual position of the object in the image can be determined by template matching which accounts for an orientation of the object, a shape of the object, an estimated size of the representation of the object in the image, and the estimated position of the object in the image. The updated camera registration/sensor data can be used in detecting an object in a subsequent image.

The invention relates to a vehicle-mounted pick-up stable platform. The platform adopts a potentiometer as a feedback element of a locking loop, a motor is controlled to move through the angular speed of gyro sensitive vector disturbance, the interference of vector movement is isolated, the drift of a gyro is inhabited, and the stability of a relatively inertial space of a payload is realized; moment increase is carried out by the control unit by adopting a photoelectric encoder and is visual and easy to operate, and the moment increase is carried out by adopting feed-forward control, thereby improving the speed and the precision of the moment increase; and the manual locking and the automatic tracking of a moving object are realized by the platform by adopting an image tracking mode, thereby simplifying the work of operating personnel and effectively ensuring that stable and high-quality image information is obtained. The invention effectively isolates the interference caused by vehicle-mounted angular movement, inhabits the platform drift caused by the gyro, improves the dynamic performance of a system, and has important application value for the fields of film shooting and the like.

Certain implementations of the disclosed technology may include systems and methods for improving image tracking based on touch events. A method is provided for outputting an image for presentation using an electronic device, the electronic device having a display refresh rate. The method includes detecting one or more touch events received via a touch sensitive surface screen associated with the electronic device, each touch event having a touch event position. The method also includes generating, by the electronic device, a synthetic touch event position based on the one or more touch event positions, the synthetic touch event position calculated to coincide in time with a predicted time, the predicted time being within an offset relative to a display refresh time corresponding to the display refresh rate. The method also includes outputting data based at least in part one or more of the synthetic touch event position.

The present invention provides an automatic tracking method, comprising a light spot detecting step of detecting a light spot 37 from a target 31 supported on a moving object 30, a step of taking a moving image of the target and the moving object, a step of tracking based on the detection of the light spot, a step of performing image tracking based on the moving image in parallel to the tracking, a step of comparing a position of the target obtained by the tracking with a position of the image obtained by the image tracking, and a step of tracking based on a result of the tracking in case where the target position and the image position are within a predetermined range.

The invention discloses an infrared vision based automatic landing guidance method and system applied to a fixed-wing UAV (unmanned aerial vehicle). The system comprises two identical image tracking modules, an image processing module, a control module and a wireless transmission module, wherein each image tracking module comprises a camera and biaxial pan-tilt units. According to the method, the UAV is detected, identified and tracked in images with an image tracking technology, and deflecting angles of the pan-tilt units are accurately recorded; the relative space position of the UAV can be determined through geometric relationship analysis and trigonometric calculation of pitch heading angles of the two pan-tilt units and the distance between the pan-tilt units, and position information of the UAV is sent to the UAV through the wireless transmission module, so that the UAV is guided to accurately land. The infrared vision based automatic landing guidance system is constructed on two sides of a landing runway of the UAV, complicated image processing is performed based on powerful computing capacity of a ground-based computer, each guidance device is utilized to the greatest extent, the accuracy of the system is improved, the control is simple, and real-time performance and stability are good.

A detection area is decided in a case where a target has gone out-of-frame. If a target is being imaged by a camera continuously, it is determined whether the target has gone out-of-frame. If the target has gone out-of-frame, then the magnitude and direction of motion of the camera are detected. If camera motion is large, it can be concluded that the camera user is imaging the target while tracking it. Accordingly, it can be concluded that the target will again be imaged at the center of the imaging zone. An area defined as a region in which the target will be detected is set at the center of the imaging zone. If camera motion is small in a case where the target goes out-of-frame, it can be concluded that the user is waiting for the target to re-enter the imaging zone and therefore the edge of the imaging zone is set as the detection area.

A camera scope inspection system with a flexible, tether mounted camera head that is maneuverable in confined internal cavities of power generation machinery. A camera head position sensing system inferentially determines the three dimension (3D) position of the camera head within the inspected machinery. Camera head position data are correlated with camera image data by a controller. In this manner correlated internal inspection image data and corresponding position data are available for future analysis and image tracking.

The invention discloses a general video flexibility measurement system insensitive to ambient light. The general video flexibility measurement system comprises a black-and-white industrial camera (1), an industrial fixed-focus lens (2), an electronic theodolite (3), a distance measurement machine (4), a tripod (4), a high brightness monochromatic LED target (6), a narrow bandpass filter sheet (7) corresponding to monochromatic light source wavelength and a computer (8); a monochromatic LED target is installed on a tested point; a video flexometer with the narrow bandpass filter sheet installed on the lens is utilized to record the video image of the LED target in real time; and flexible data is obtained in real time through an image tracking algorithm on the basis of image gray correlation matching or characteristic points extraction. The general video flexibility measurement system is insensitive to the change of ambient light, can realize high precision measurement for displacement or flexibility at daytime or nigh, can calculate multiple object positions in one image, and realizes real-time dynamic measurement of displacement or flexibility of multiple detected points.

The invention proposes a vehicle type recognition and tracking method and system based on a monitoring video, and the method comprises the steps: A, background modeling and foreground detection: enabling a relatively static part in a video sequence to serve as the background and to be separated from the foreground comprising a moving object; B, vehicle image feature extraction: extracting local feature descriptors in images, and employing an SIFT feature descriptor because the method can describe the content and features of the images better, thereby enabling the image noise and affine changes to be stable to some extent; C, vehicle image feature coding: enabling the local feature descriptors with different numbers to be coded as the fixed-length vectors, so as to adapt to the input of a classifier; D, vehicle image recognition: selecting and designing an appropriate classifier for the classification of the characteristic vectors of the images, thereby finally achieving the recognition purpose; E, vehicle image tracking: tracking a recognition image region with one vehicle type being recognized, thereby avoiding the repeated foreground detection and recognition, and improving the operation speed of the system.

The invention belongs to the field of education training course recording and playing, and specifically relates to an image tracking method and a system for teaching. According to the method and the system, image areas of movable targets can be accurately extracted, and image tracking shooting is accurately performed. The tracking method includes: a teacher image auxiliary positioning camera and student image auxiliary positioning cameras respectively acquire data video information of teacher and student areas and send the information to an image tracking processor; the image tracking processor employs the image processing technology, determines whether there are movable targets in the teacher or student areas, determines the specific position of the target, and solves a target image behavior analysis result of the teacher or student areas; the image tracking processor drives a teacher tracking camera or a student tracking camera to rotate or zoom according to the target image behavior analysis result of the teacher or student areas; and the image tracking processor informs a video switching module of the target image behavior analysis result of the teacher or student areas, and the video switching module sends a video switching instruction to a recording and playing server according to a directing switching strategy.

The invention relates to a non-contact vibration detecting method of a tower crane structure and belongs to the technical field of detecting. The method is non-contact measurement. A multipoint and on-line test can be achieved by arranging a plurality of cameras without arranging a sensor on a detected object. The non-contact vibration detecting method of the tower crane structure has no load effect and is easy to implement. Image information is directly digitalized to form a full-automation and full-digitalization vibration measurement disposing and recording system. Amount of information is larger than that of a traditional method. Regions of interest (ROI)technology is used in the method to reduce an image tracking area and calculated amount. Speeded-up robust features (SURF) method is used to accelerate extraction rate of feature points. The PauTa criterion is used to reject'outlier' and improve accuracy of the SURF method. Reliability of a crane safety monitoring system in prior art is improved.

The embodiment of the invention discloses a method and equipment for image tracking processing and relates to the field of computer image processing. The method and equipment for image tracking processing achieve the purpose of accurately tracking targets under complex situations and solve the problem that multiple targets shield one another and can not be well tracked, thereby improving accuracy of image tracking. The method includes the steps that the contact ratio between a prestored tracking target and a new tracking target is calculated according to an updated tracking chain table, and whether the new tracking target and the prestored tracking target shield each other or not is judged according to the contact ratio; if the prestored tracking target and the new tracking target shield each other, the new tracking target is monitored through linear fitting until the new tracking target and the prestored tracking target do not shield each other or leave a current video area; an unshielded tracking target in the tracking chain table is corrected through particle filtering. The method and equipment for image tracking processing are applied to image tracking technologies.