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Object detection is broadly used in robot navigation, clever video surveillance, industrial inspection, aerospace and lots of other fields. It is an important branch of picture processing and pc vision disciplines, and can also be the core a part of clever surveillance systems. At the same time, target detection can be a basic algorithm in the sector of pan-identification, iTagPro bluetooth tracker which performs a vital function in subsequent duties similar to face recognition, gait recognition, crowd counting, ItagPro and occasion segmentation. After the primary detection module performs target detection processing on the video body to acquire the N detection targets in the video body and the primary coordinate info of each detection goal, the above technique It also includes: displaying the above N detection targets on a screen. The primary coordinate info corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning in the above-mentioned video body according to the primary coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-mentioned video frame, and determining the above-talked about partial picture is the i-th image above.

The expanded first coordinate data corresponding to the i-th detection goal; the above-talked about first coordinate information corresponding to the i-th detection goal is used for positioning in the above-talked about video body, including: in accordance with the expanded first coordinate data corresponding to the i-th detection goal The coordinate information locates within the above video body. Performing object detection processing, if the i-th image contains the i-th detection object, iTagPro bluetooth tracker buying place info of the i-th detection object within the i-th picture to obtain the second coordinate data. The second detection module performs goal detection processing on the jth image to find out the second coordinate information of the jth detected target, iTagPro bluetooth tracker the place j is a optimistic integer not higher than N and ItagPro not equal to i. Target detection processing, obtaining a number of faces in the above video body, and first coordinate data of every face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photographs of the above video body in keeping with the above first coordinate data ; performing target detection processing on the partial picture through the second detection module to acquire second coordinate info of the goal face; displaying the goal face based on the second coordinate information.

Display multiple faces within the above video body on the screen. Determine the coordinate checklist in line with the primary coordinate data of each face above. The primary coordinate information corresponding to the target face; acquiring the video body; and iTagPro tracker positioning in the video frame based on the primary coordinate data corresponding to the target face to acquire a partial picture of the video body. The prolonged first coordinate data corresponding to the face; the above-mentioned first coordinate information corresponding to the above-talked about goal face is used for positioning in the above-mentioned video body, together with: based on the above-mentioned prolonged first coordinate info corresponding to the above-mentioned target face. In the detection process, if the partial image consists of the target face, buying position info of the goal face within the partial picture to acquire the second coordinate information. The second detection module performs goal detection processing on the partial image to determine the second coordinate info of the other goal face.

In: performing goal detection processing on the video body of the above-mentioned video through the above-talked about first detection module, acquiring a number of human faces within the above-talked about video frame, and the first coordinate info of each human face; the local image acquisition module is used to: ItagPro from the above-talked about multiple The goal face is randomly obtained from the non-public face, and the partial image of the above-talked about video frame is intercepted in accordance with the above-mentioned first coordinate information; the second detection module is used to: perform goal detection processing on the above-talked about partial image by way of the above-mentioned second detection module, so as to acquire the above-mentioned The second coordinate info of the goal face; a show module, iTagPro bluetooth tracker configured to: display the goal face in line with the second coordinate data. The goal tracking methodology described in the primary aspect above could understand the goal selection methodology described within the second facet when executed.