GPS Tracking Software > 자유게시판

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Object detection is widely utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a vital branch of image processing and laptop vision disciplines, and can also be the core a part of clever surveillance programs. At the identical time, goal detection can also be a primary algorithm in the sphere of pan-identification, which performs a vital function in subsequent tasks akin to face recognition, gait recognition, crowd counting, iTagPro online and instance segmentation. After the first detection module performs target detection processing on the video body to obtain the N detection targets within the video frame and the primary coordinate info of each detection goal, the above technique It additionally includes: displaying the above N detection targets on a display. The primary coordinate data corresponding to the i-th detection goal; obtaining the above-talked about video frame; positioning within the above-talked about video body in response to the first coordinate info corresponding to the above-talked about i-th detection target, acquiring a partial picture of the above-talked about video frame, ItagPro and determining the above-mentioned partial picture is the i-th image above.

The expanded first coordinate information corresponding to the i-th detection target; the above-mentioned first coordinate data 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 info corresponding to the i-th detection target The coordinate info locates in the above video frame. Performing object detection processing, if the i-th picture includes the i-th detection object, iTagPro online acquiring place data of the i-th detection object within the i-th picture to obtain the second coordinate information. The second detection module performs target detection processing on the jth image to determine the second coordinate data of the jth detected target, the place j is a optimistic integer not better than N and not equal to i. Target detection processing, obtaining multiple faces in the above video body, and first coordinate info of every face; randomly obtaining target faces from the above a number of faces, and intercepting partial pictures of the above video body in line with the above first coordinate information ; performing goal detection processing on the partial picture by way 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 listing in accordance with the first coordinate information of every face above. The primary coordinate info corresponding to the goal face; acquiring the video body; and positioning within the video body based on the first coordinate data corresponding to the goal face to obtain a partial image of the video frame. The extended first coordinate data corresponding to the face; the above-mentioned first coordinate info corresponding to the above-talked about target face is used for positioning within the above-talked about video frame, including: based on the above-talked about prolonged first coordinate data corresponding to the above-talked about goal face. Within the detection course of, if the partial image includes the target face, buying place data of the target face in the partial image to obtain the second coordinate information. The second detection module performs target detection processing on the partial picture to determine the second coordinate data of the other 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, acquiring a number of human faces in the above-mentioned video body, iTagPro online and the primary coordinate information of every human face; the native picture acquisition module is used to: from the above-mentioned multiple The target face is randomly obtained from the personal face, iTagPro online and the partial image of the above-mentioned video frame is intercepted based on the above-mentioned first coordinate data; the second detection module is used to: iTagPro online carry out goal detection processing on the above-mentioned partial image via the above-mentioned second detection module, so as to obtain the above-mentioned The second coordinate data of the goal face; a display module, configured to: show the goal face in accordance with the second coordinate information. The target tracking methodology described in the primary aspect above might realize the target choice method described in the second aspect when executed.