Signal GPS Trackers

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Object detection is broadly utilized in robotic navigation, clever video surveillance, industrial inspection, aerospace and lots of other fields. It is a vital department of image processing and computer imaginative and prescient disciplines, and can be the core part of clever surveillance systems. At the same time, goal detection can be a primary algorithm in the field of pan-identification, which plays a vital role in subsequent duties resembling face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs goal detection processing on the video body to obtain the N detection targets within the video body and the primary coordinate information of each detection goal, the above method It also includes: displaying the above N detection targets on a display. The primary coordinate information corresponding to the i-th detection target; acquiring the above-talked about video frame; positioning within the above-mentioned video frame in line with the first coordinate information corresponding to the above-mentioned i-th detection target, obtaining a partial picture of the above-mentioned video body, and determining the above-mentioned partial picture is the i-th picture above.



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



Display a number of faces in the above video body on the display. Determine the coordinate listing in response to the first coordinate information of each face above. The first coordinate info corresponding to the goal face; acquiring the video frame; and positioning within the video body according to the first coordinate data corresponding to the target face to acquire 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-mentioned target face is used for positioning within the above-mentioned video body, including: in accordance with the above-talked about prolonged first coordinate info corresponding to the above-talked about target face. Within the detection process, if the partial image contains the target face, buying place info of the goal face in the partial picture to acquire the second coordinate information. The second detection module performs goal detection processing on the partial picture to find out the second coordinate information of the other target face.



In: lost item finder performing target detection processing on the video frame of the above-mentioned video by way of the above-talked about first detection module, acquiring multiple human faces in the above-mentioned video body, and the first coordinate data of every human face; the native image acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the non-public face, and the partial picture of the above-mentioned video body is intercepted in keeping with the above-talked about first coordinate data; the second detection module is used to: carry out target detection processing on the above-mentioned partial picture by way of the above-talked about second detection module, in order to obtain the above-talked about The second coordinate info of the target face; a display module, configured to: show the goal face in accordance with the second coordinate info. The target monitoring technique described in the first facet above could understand the target choice method described in the second facet when executed.