GPS Vehicle Tracking Services Van Tracker Device
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Object detection is broadly utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and many different fields. It is an important department of image processing and laptop imaginative and prescient disciplines, and is also the core part of intelligent surveillance techniques. At the identical time, goal detection is also a basic algorithm in the sphere of pan-identification, which plays an important function in subsequent duties comparable to face recognition, gait recognition, crowd counting, and bluetooth keychain tracker instance segmentation. After the first detection module performs target detection processing on the video frame to acquire the N detection targets in the video frame and the primary coordinate data of every detection goal, the above technique It also consists of: displaying the above N detection targets on a display screen. The primary coordinate information corresponding to the i-th detection target; acquiring the above-mentioned video frame; positioning in the above-talked about video body based on the first coordinate info corresponding to the above-mentioned i-th detection target, acquiring a partial image of the above-mentioned video frame, and determining the above-talked about partial picture is the i-th image above.
The expanded first coordinate data corresponding to the i-th detection target; the above-mentioned first coordinate data corresponding to the i-th detection target is used for positioning in the above-mentioned video body, including: in accordance with the expanded first coordinate information corresponding to the i-th detection goal The coordinate data locates in the above video body. Performing object detection processing, if the i-th picture consists of the i-th detection object, ItagPro buying place information of the i-th detection object in the i-th image to obtain the second coordinate data. The second detection module performs target detection processing on the jth picture to determine the second coordinate information of the jth detected target, where j is a optimistic integer not greater than N and ItagPro never equal to i. Target detection processing, obtaining a number of faces within the above video body, and first coordinate info of each face; randomly acquiring goal faces from the above multiple faces, and intercepting partial images of the above video frame according to the above first coordinate information ; performing goal detection processing on the partial picture via the second detection module to acquire second coordinate information of the target face; displaying the target face based on the second coordinate data.
Display multiple faces within the above video body on the display screen. Determine the coordinate listing in line with the first coordinate data of each face above. The primary coordinate information corresponding to the goal face; buying the video body; and positioning within the video frame in response to the first coordinate data corresponding to the goal face to acquire a partial picture of the video frame. The extended first coordinate information corresponding to the face; the above-mentioned first coordinate information corresponding to the above-talked about goal face is used for ItagPro positioning in the above-talked about video body, including: in line with the above-mentioned prolonged first coordinate info corresponding to the above-mentioned target face. In the detection process, if the partial picture contains the goal face, acquiring position information of the target face within the partial picture to obtain the second coordinate info. The second detection module performs goal detection processing on the partial picture to find out the second coordinate data of the other goal face.