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Object detection is broadly utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and plenty of different fields. It is a crucial branch of image processing and computer imaginative and prescient disciplines, and can also be the core part of intelligent surveillance techniques. At the same time, target detection can be a basic algorithm in the sector ItagPro of pan-identification, which plays a significant position in subsequent tasks corresponding to face recognition, gait recognition, crowd counting, and instance segmentation. After the first detection module performs target detection processing on the video frame to acquire the N detection targets within the video body and the primary coordinate information of each detection target, the above technique It additionally consists of: displaying the above N detection targets on a screen. The primary coordinate data corresponding to the i-th detection goal; acquiring the above-talked about video body; positioning within the above-mentioned video frame in accordance with the first coordinate information corresponding to the above-talked about i-th detection goal, iTagPro online acquiring a partial picture of the above-mentioned video body, and figuring out the above-talked about 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 information corresponding to the i-th detection target is used for positioning within the above-talked about video frame, together with: in keeping with the expanded first coordinate data corresponding to the i-th detection goal The coordinate info locates within the above video body. Performing object detection processing, if the i-th picture contains the i-th detection object, acquiring place information of the i-th detection object within the i-th image to acquire the second coordinate data. The second detection module performs goal detection processing on the jth picture to determine the second coordinate information of the jth detected target, the place j is a positive integer not larger than N and never equal to i. Target detection processing, iTagPro online obtaining a number of faces within the above video body, and first coordinate data of each face; randomly obtaining goal faces from the above a number of faces, and intercepting partial photographs of the above video body in line with the above first coordinate info ; performing goal detection processing on the partial picture by means of the second detection module to obtain second coordinate info of the goal face; displaying the target face in keeping with the second coordinate information.

Display multiple faces within the above video body on the display. Determine the coordinate list in keeping with the first coordinate information of every face above. The primary coordinate information corresponding to the goal face; acquiring the video frame; and positioning within the video body in keeping with the primary coordinate info corresponding to the target face to acquire a partial image of the video body. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate data corresponding to the above-mentioned target face is used for positioning within the above-talked about video body, including: in response to the above-talked about prolonged first coordinate data corresponding to the above-talked about target face. Within the detection process, if the partial image consists of the goal face, buying position information of the target face within the partial image to acquire the second coordinate info. The second detection module performs goal detection processing on the partial picture to determine the second coordinate information of the other target face.