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Object detection is broadly utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and iTagPro bluetooth tracker lots of different fields. It is a vital department of picture processing and laptop vision disciplines, and iTagPro bluetooth tracker is also the core a part of intelligent surveillance systems. At the identical time, target detection can be a basic algorithm in the sphere of pan-identification, which performs a vital role in subsequent duties similar to face recognition, gait recognition, 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 the primary coordinate data of every detection target, the above technique It also includes: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection target; obtaining the above-talked about video body; positioning within the above-talked about video body in response to the primary coordinate information corresponding to the above-talked about i-th detection goal, obtaining a partial image of the above-mentioned video frame, and figuring out the above-mentioned partial image is the i-th picture above.

The expanded first coordinate information corresponding to the i-th detection goal; the above-talked about first coordinate data corresponding to the i-th detection target is used for positioning within the above-talked about video body, including: in response to the expanded first coordinate information corresponding to the i-th detection goal The coordinate data locates in the above video body. Performing object detection processing, if the i-th picture includes the i-th detection object, acquiring place info of the i-th detection object in the i-th picture to acquire the second coordinate info. The second detection module performs target detection processing on the jth picture to find out the second coordinate information of the jth detected target, the place j is a positive integer not higher than N and never equal to i. Target detection processing, acquiring a number of faces within the above video frame, and first coordinate data of each face; randomly obtaining target faces from the above multiple faces, ItagPro and ItagPro intercepting partial pictures of the above video body based on the above first coordinate data ; performing goal detection processing on the partial picture by means of the second detection module to acquire second coordinate data of the goal face; displaying the target face in accordance with the second coordinate info.

Display multiple faces in the above video body on the display. Determine the coordinate record according to the primary coordinate info of each face above. The first coordinate info corresponding to the goal face; acquiring the video frame; and positioning in the video body based on the first coordinate data corresponding to the goal face to obtain a partial picture of the video body. The extended first coordinate data corresponding to the face; the above-mentioned first coordinate information corresponding to the above-mentioned target face is used for iTagPro bluetooth tracker positioning in the above-talked about video body, including: based on the above-mentioned prolonged first coordinate data corresponding to the above-mentioned target face. Within the detection process, if the partial image contains the goal face, acquiring position data of the target face in the partial picture to obtain the second coordinate data. The second detection module performs goal detection processing on the partial image to determine the second coordinate information of the opposite goal face.