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Object detection is extensively used in robotic navigation, clever video surveillance, industrial inspection, luggage tracking device aerospace and plenty of different fields. It is a crucial department of picture processing and pc imaginative and prescient disciplines, and can also be the core part of clever surveillance programs. At the same time, target detection can also be a primary algorithm in the sphere of pan-identification, which plays a vital function in subsequent tasks resembling face recognition, gait recognition, crowd counting, itagpro bluetooth and itagpro bluetooth occasion segmentation. After the first detection module performs target detection processing on the video body to acquire the N detection targets in the video body and the primary coordinate data of each detection goal, itagpro bluetooth the above technique It additionally includes: displaying the above N detection targets on a screen. The primary coordinate data corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning within the above-mentioned video body in accordance with the first coordinate info corresponding to the above-talked about i-th detection target, obtaining a partial picture of the above-talked about video body, and determining the above-talked about partial picture is the i-th image above.

The expanded first coordinate information corresponding to the i-th detection goal; the above-talked about first coordinate info corresponding to the i-th detection goal is used for positioning in the above-talked about video body, including: itagpro bluetooth in line with the expanded first coordinate info corresponding to the i-th detection goal The coordinate data locates in the above video frame. Performing object detection processing, if the i-th image includes the i-th detection object, acquiring place information of the i-th detection object in the i-th picture to acquire the second coordinate info. The second detection module performs goal detection processing on the jth image to find out the second coordinate information of the jth detected target, where j is a constructive integer not larger than N and itagpro bluetooth not equal to i. Target detection processing, acquiring a number of faces within the above video frame, and first coordinate information of each face; randomly obtaining goal faces from the above a number of faces, and intercepting partial images of the above video body in keeping with the above first coordinate information ; performing goal detection processing on the partial image by the second detection module to acquire second coordinate info of the target face; displaying the target face in keeping with the second coordinate data.

Display a number of faces in the above video body on the display. Determine the coordinate listing according to the first coordinate information of every face above. The primary coordinate data corresponding to the goal face; acquiring the video frame; and positioning within the video body based on the first coordinate information corresponding to the goal face to acquire a partial picture of the video frame. The extended first coordinate information corresponding to the face; the above-mentioned first coordinate info corresponding to the above-mentioned goal face is used for ItagPro positioning within the above-talked about video frame, including: based on the above-mentioned prolonged first coordinate info corresponding to the above-mentioned goal face. In the detection process, itagpro bluetooth if the partial picture consists of the target face, buying place information of the target 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 info of the other target face.

In: performing goal detection processing on the video body of the above-mentioned video by the above-talked about first detection module, acquiring a number of human faces in the above-mentioned video body, and the primary coordinate data of every human face; the native image acquisition module is used to: from the above-mentioned multiple The goal 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-talked about first coordinate data; the second detection module is used to: carry out target detection processing on the above-mentioned partial image by means of the above-talked about second detection module, iTagPro online so as to acquire the above-talked about The second coordinate data of the goal face; a show module, itagpro tracker configured to: display the target face based on the second coordinate information. The target tracking technique described in the first facet above could realize the goal choice methodology described in the second side when executed.