FIG. Four Of The Present Disclosure

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Object detection is widely used in robotic navigation, clever video surveillance, industrial inspection, aerospace and plenty of different fields. It is a vital department of image processing and computer vision disciplines, and can be the core part of intelligent surveillance techniques. At the identical time, goal detection is also a primary algorithm in the sphere of pan-identification, which plays a significant role in subsequent duties resembling face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs target detection processing on the video body to obtain the N detection targets within the video body and the first coordinate info of each detection target, iTagPro the above method It additionally includes: displaying the above N detection targets on a display screen. The primary coordinate data corresponding to the i-th detection target; acquiring the above-talked about video frame; positioning in the above-mentioned video frame in response to the first coordinate info corresponding to the above-mentioned i-th detection target, obtaining a partial image of the above-mentioned video body, iTagPro Tracker and figuring out the above-mentioned partial picture is the i-th picture above.



The expanded first coordinate data corresponding to the i-th detection goal; the above-mentioned first coordinate info corresponding to the i-th detection goal is used for positioning in the above-talked about video body, together with: in line with the expanded first coordinate data corresponding to the i-th detection target The coordinate info locates within the above video body. Performing object detection processing, if the i-th picture consists of the i-th detection object, buying position information of the i-th detection object in the i-th image to obtain the second coordinate data. The second detection module performs target detection processing on the jth image to find out the second coordinate info of the jth detected goal, the place j is a optimistic integer not greater than N and not equal to i. Target detection processing, acquiring a number of faces within the above video frame, and first coordinate data of every face; randomly obtaining target faces from the above a number of faces, and intercepting partial photographs of the above video frame based on the above first coordinate info ; performing target detection processing on the partial picture by means of the second detection module to acquire second coordinate info of the goal face; displaying the goal face according to the second coordinate data.



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



In: performing target detection processing on the video frame of the above-mentioned video via the above-mentioned first detection module, obtaining a number of human faces within the above-mentioned video frame, and the primary coordinate information of each human face; the native image acquisition module is used to: from the above-mentioned multiple The target face is randomly obtained from the personal face, and the partial image of the above-talked about video frame is intercepted in line with the above-talked about first coordinate information; the second detection module is used to: perform target detection processing on the above-mentioned partial picture via the above-talked about second detection module, in order to obtain the above-talked about The second coordinate info of the target face; a display module, configured to: display the target face in response to the second coordinate data. The goal monitoring technique described in the primary facet above may realize the goal choice technique described within the second aspect when executed.