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Object detection is broadly used in robot navigation, itagpro tracker intelligent video surveillance, industrial inspection, aerospace and lots of different fields. It is a vital branch of picture processing and laptop vision disciplines, and can be the core a part of clever surveillance methods. At the identical time, target detection is also a primary algorithm in the field of pan-identification, iTagPro tracker which plays an important function in subsequent duties equivalent to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs goal detection processing on the video frame to obtain the N detection targets in the video body and the first coordinate data of every detection goal, the above technique It additionally consists of: displaying the above N detection targets on a screen. The primary coordinate information corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning in the above-mentioned video frame in response to the primary coordinate info corresponding to the above-talked about i-th detection target, obtaining a partial image of the above-talked about video frame, and figuring out the above-talked about partial image is the i-th image above.
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The expanded first coordinate data corresponding to the i-th detection target; the above-talked about first coordinate data corresponding to the i-th detection target is used for itagpro tracker positioning in the above-talked about video body, including: according to the expanded first coordinate data corresponding to the i-th detection target 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, buying position info of the i-th detection object within the i-th picture to acquire the second coordinate data. The second detection module performs goal detection processing on the jth picture to find out the second coordinate info of the jth detected target, iTagPro features where j is a constructive integer not better than N and iTagPro tracker not equal to i. Target detection processing, acquiring a number of faces in the above video frame, and first coordinate data of each face; randomly acquiring goal faces from the above a number of faces, and intercepting partial pictures of the above video body based on the above first coordinate info ; performing goal detection processing on the partial image by way of the second detection module to acquire second coordinate info of the target face; displaying the goal face in keeping with the second coordinate information.