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Object detection is broadly used in robot navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a vital branch of picture processing and pc imaginative and prescient disciplines, and is also the core part of clever surveillance programs. At the same time, target detection can also be a basic algorithm in the sector of pan-identification, iTagPro product which performs a significant position in subsequent duties similar to face recognition, gait recognition, crowd counting, and instance segmentation. After the first detection module performs goal detection processing on the video body to acquire the N detection targets within the video frame and the primary coordinate data of every detection target, the above methodology It additionally includes: anti-loss gadget displaying the above N detection targets on a display. The primary coordinate data corresponding to the i-th detection target; obtaining the above-talked about video frame; positioning within the above-talked about video frame in response to the first coordinate info corresponding to the above-mentioned i-th detection goal, ItagPro acquiring a partial picture of the above-talked about video frame, and figuring out the above-talked about partial image is the i-th picture above.

The expanded first coordinate info corresponding to the i-th detection goal; the above-talked about first coordinate infve-talked about goal face is used for positioning in the above-talked about video frame, anti-loss gadget together with: in response to the above-talked about extended first coordinate data corresponding to the above-mentioned goal face. In the detection process, if the partial picture contains the goal face, buying place info of the target face within the partial image to obtain the second coordinate information. The second detection module performs goal detection processing on the partial picture to determine the second coordinate info of the opposite target face.

In: performing goal detection processing on the video body of the above-mentioned video by means of the above-talked about first detection module, obtaining a number of human faces in the above-mentioned video frame, and the primary coordinate info of every human face; the local picture acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the private face, anti-loss gadget and the partial image of the above-mentioned video frame is intercepted in line with the above-mentioned first coordinate data; the second detection module is used to: carry out target detection processing on the above-mentioned partial image via the above-talked about second detection module, in order to obtain the above-mentioned The second coordinate information of the target face; a show module, configured to: display the target face in line with the second coordinate data. The goal monitoring technique described in the primary side above might realize the target selection technique described within the second side when executed.