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Object detection is broadly used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and plenty of other fields. It is a vital branch of picture processing and wireless item locator computer vision disciplines, and can also be the core a part of intelligent surveillance systems. At the identical time, goal detection is also a primary algorithm in the sphere of pan-identification, which performs a vital function in subsequent tasks similar to face recognition, gait recognition, iTagPro website crowd counting, and occasion segmentation. After the primary detection module performs goal detection processing on the video frame to acquire the N detection targets within the video frame and iTagPro website the first coordinate data of each detection goal, the above methodology It additionally consists of: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection goal; acquiring the above-talked about video body; positioning within the above-talked about video frame based on the primary coordinate data corresponding to the above-talked about i-th detection target, obtaining a partial image of the above-mentioned video frame, and iTagPro website figuring out the above-talked about partial picture is the i-th image above.

The expanded first coordinate data corresponding to the i-th detection target; the above-mentioned first coordinate info corresponding to the i-th detection target is used for positioning within the above-talked about video body, together with: in keeping with the expanded first coordinate info corresponding to the i-th detection target The coordinate information locates in the above video frame. Performing object detection processing, iTagPro website if the i-th image consists of the i-th detection object, acquiring place information of the i-th detection object in the i-th image to acquire the second coordinate data. The second detection module performs target detection processing on the jth picture to find out the second coordinate data of the jth detected target, where j is a constructive integer not better than N and never equal to i. Target detection processing, obtaining a number of faces in the above video frame, and first coordinate data of every face; randomly acquiring target faces from the above multiple faces, and intercepting partial photos of the above video frame in response to the above first coordinate info ; performing target detection processing on the partial picture by means of the second detection module to acquire second coordinate data of the target face; displaying the goal face based on the second coordinate data.

Display multiple faces within the above video body on the display. Determine the coordinate list in line 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 frame based on the primary coordinate data corresponding to the goal face to obtain a partial picture of the video frame. The prolonged first coordinate information corresponding to the face; the above-mentioned first coordinate info corresponding to the above-mentioned target face is used for positioning within the above-talked about video frame, together with: in keeping with the above-mentioned extended first coordinate data corresponding to the above-talked about target face. Within the detection course of, if the partial picture contains the target face, buying position information of the target face in the partial picture to acquire the second coordinate info. The second detection module performs goal detection processing on the partial image to find out the second coordinate info of the other goal face.

In: performing goal detection processing on the video body of the above-talked about video by means of the above-talked about first detection module, acquiring multiple human faces within the above-mentioned video frame, iTagPro website and the first coordinate information of every human face; the native picture acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the private face, and the partial picture of the above-talked about video body is intercepted according to the above-mentioned first coordinate data; the second detection module is used to: perform goal detection processing on the above-mentioned partial image via the above-talked about second detection module, in order to acquire the above-talked about The second coordinate data of the target face; a show module, configured to: show the target face in keeping with the second coordinate information. The target tracking methodology described in the primary side above could realize the target selection technique described in the second facet when executed.