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After the first detection module performs goal detection processing on the video frame to acquire the N detection targets in the video frame and the primary coordinate info of every detection goal, the above method It additionally includes:  [https://qa.andytoan.vn/index.php?qa=249872&qa_1=best-practices-for-cross-device-tracking-for-marketing iTagPro smart tracker] displaying the above N detection targets on a display. The first coordinate information corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning within the above-talked about video body according to the primary coordinate info corresponding to the above-mentioned i-th detection target, 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.<br><br><br><br>The expanded first coordinate info corresponding to the i-th detection goal; the above-talked about first coordinate information corresponding to the i-th detection target is used for positioning within the above-talked about video frame, together with: according to the expanded first coordinate information corresponding to the i-th detection target The coordinate data locates in the above video body. Performing object detection processing, if the i-th image consists of the i-th detection object, buying place information of the i-th detection object within 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 goal, where j is a optimistic integer not higher than N and never equal to i. Target detection processing,  [http://133.130.72.247/keiraderry085/1081itagpro-product/issues/2 iTagPro smart tracker] obtaining a number of faces within the above video frame, and  [http://p2sky.com/home.php?mod=space&uid=6388614&do=profile iTagPro smart tracker] first coordinate info of each face; randomly acquiring target faces from the above a number of faces, and  [https://www.allspecsautomotive.com.au/faq-items/vivamus-ullamcorper-nim-sit-amet-consequat-laoreet-tortor-tortor-dictum-egestas-urna/ iTagPro smart tracker] intercepting partial images of the above video body based on the above first coordinate data ; performing target detection processing on the partial image through the second detection module to obtain second coordinate info of the target face; displaying the goal face based on the second coordinate information.<br><br><br><br>Display multiple faces in the above video body on the display screen. Determine the coordinate listing based on the primary coordinate information of every face above. The primary coordinate information corresponding to the goal face; acquiring the video body; and positioning in the video frame in response to the primary coordinate info corresponding to the target face to acquire a partial image of the video frame. The prolonged first coordinate information corresponding to the face; the above-mentioned first coordinate data corresponding to the above-talked about goal face is used for positioning within the above-mentioned video body, together with: according to the above-mentioned prolonged first coordinate information corresponding to the above-talked about target face. Within the detection course of, if the partial image consists of the goal face, buying place information of the goal face in the partial picture to acquire the second coordinate data. The second detection module performs target detection processing on the partial picture to determine the second coordinate information of the other target face.<br>