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Object detection is widely utilized in robot navigation, intelligent video surveillance, industrial inspection, ItagPro aerospace and lots of different fields. It is a vital department of picture processing and computer vision disciplines, and is also the core a part of clever surveillance programs. At the same time, target detection is also a basic algorithm in the field of pan-identification, which plays an important position in subsequent tasks equivalent to face recognition, iTagPro technology gait recognition, crowd counting, and instance segmentation. After the primary detection module performs goal detection processing on the video body to acquire the N detection targets in the video frame and the primary coordinate information of every detection goal, the above method It also contains: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection target; acquiring the above-mentioned video frame; positioning in the above-talked about video frame based on the first coordinate info corresponding to the above-talked about i-th detection target, obtaining a partial picture of the above-mentioned video frame, and determining the above-mentioned partial picture is the i-th image above.

The expanded first coordinate info corresponding to the i-th detection goal; the above-mentioned first coordinate info corresponding to the i-th detection target is used for positioning in the above-talked about video frame, including: in accordance with the expanded first coordinate data corresponding to the i-th detection goal The coordinate info locates within the above video frame. Performing object detection processing, if the i-th image includes the i-th detection object, acquiring position data of the i-th detection object within the i-th image to obtain the second coordinate information. The second detection module performs target detection processing on the jth image to determine the second coordinate information of the jth detected goal, where j is a constructive integer not larger than N and never equal to i. Target detection processing, obtaining multiple faces in the above video body, and first coordinate data of every face; randomly acquiring target faces from the above a number of faces, iTagPro technology and intercepting partial photos of the above video frame in line with the above first coordinate data ; performing goal detection processing on the partial image by way of the second detection module to obtain second coordinate data of the target face; displaying the goal face in accordance with the second coordinate data.

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

In: performing target detection processing on the video body of the above-talked about video by means of the above-mentioned first detection module, acquiring a number of human faces within the above-mentioned video body, and the primary coordinate info of each human face; the local image acquisition module is used to: from the above-mentioned multiple The goal face is randomly obtained from the non-public face, and best bluetooth tracker the partial picture of the above-mentioned video body is intercepted according to the above-mentioned first coordinate data; the second detection module is used to: carry out goal detection processing on the above-talked about partial picture by means of the above-mentioned second detection module, in order to acquire the above-talked about The second coordinate info of the goal face; a show module, ItagPro configured to: iTagPro smart device display the target face in response to the second coordinate info. The target monitoring method described in the primary facet above might understand iTagPro technology the goal selection methodology described within the second aspect when executed.