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Object detection is extensively used in robotic navigation, clever video surveillance, industrial inspection, aerospace and iTagPro USA plenty of different fields. It is an important department of image processing and computer vision disciplines, and can also be the core part of clever surveillance systems. At the identical time, goal detection can also be a fundamental algorithm in the field of pan-identification, which plays an important role in subsequent duties resembling face recognition, gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs goal detection processing on the video frame to obtain the N detection targets in the video frame and the primary coordinate info of every detection target, the above technique It also consists of: displaying the above N detection targets on a screen. The first coordinate info corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning in the above-talked about video body in keeping with the primary coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial image of the above-talked about video frame, and figuring out the above-mentioned partial picture is the i-th image above.

The expanded first coordinate information corresponding to the i-th detection goal; the above-talked about first coordinate data corresponding to the i-th detection target is used for positioning in the above-mentioned video body, including: in keeping with the expanded first coordinate information corresponding to the i-th detection target The coordinate info locates in the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, buying place info of the i-th detection object in the i-th picture to obtain the second coordinate info. The second detection module performs target detection processing on the jth image to find out the second coordinate information of the jth detected target, iTagPro tracker the place j is a constructive integer not better than N and not equal to i. Target detection processing, acquiring a number of faces in the above video body, and first coordinate information of each face; randomly acquiring target faces from the above multiple faces, and iTagPro tracker intercepting partial photos of the above video body in keeping with the above first coordinate data ; performing target detection processing on the partial picture through the second detection module to obtain second coordinate information of the target face; displaying the goal face in keeping with the second coordinate info.

Display multiple faces in the above video frame on the screen. Determine the coordinate list in keeping with the primary coordinate info of each face above. The primary coordinate data corresponding to the goal face; acquiring the video frame; and positioning within the video body in keeping with the first coordinate data corresponding to the target face to acquire a partial image of the video frame. The extended first coordinate info corresponding to the face; the above-mentioned first coordinate data corresponding to the above-talked about goal face is used for iTagPro USA positioning within the above-talked about video frame, iTagPro shop together with: based on the above-mentioned prolonged first coordinate info corresponding to the above-mentioned target face. In the detection process, iTagPro portable if the partial picture includes the goal face, buying position information of the target face within the partial picture to obtain the second coordinate information. The second detection module performs target detection processing on the partial picture to find out the second coordinate information of the opposite goal face.