GPS Tracking Software

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Object detection is broadly utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and lots of different fields. It is a vital department of image processing and pc vision disciplines, and can be the core a part of clever surveillance methods. At the identical time, target detection can also be a primary algorithm in the field of pan-identification, which performs a vital role in subsequent tasks similar to face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs target detection processing on the video frame to acquire the N detection targets within the video frame and the first coordinate info of every detection target, the above methodology It additionally contains: displaying the above N detection targets on a screen. The first coordinate info corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning within the above-talked about video body based on the primary coordinate data corresponding to the above-mentioned i-th detection goal, obtaining a partial picture of the above-talked about video frame, 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 data corresponding to the i-th detection goal is used for positioning in the above-mentioned video frame, including: in response to the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates within 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 image to obtain the second coordinate information. The second detection module performs goal detection processing on the jth image to find out the second coordinate data of the jth detected target, the place j is a positive integer not higher than N and not equal to i. Target detection processing, obtaining a number of faces in the above video body, and first coordinate info of every face; randomly obtaining goal faces from the above a number of faces, and intercepting partial images of the above video body according to 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 target face according to the second coordinate data.



Display a number of faces in the above video body on the display screen. Determine the coordinate list according to the first coordinate information of each face above. The primary coordinate data corresponding to the goal face; acquiring the video body; and positioning within the video frame according to the first coordinate information corresponding to the goal face to obtain a partial picture of the video frame. The prolonged first coordinate information corresponding to the face; the above-talked about first coordinate info corresponding to the above-talked about goal face is used for positioning within the above-mentioned video body, including: wireless item locator in keeping with the above-mentioned extended first coordinate data corresponding to the above-talked about target face. In the detection course of, if the partial picture contains the goal face, buying place data of the goal face within the partial image to obtain the second coordinate data. The second detection module performs goal detection processing on the partial picture to determine the second coordinate info of the opposite target face.



In: performing target detection processing on the video body of the above-talked about video through the above-mentioned first detection module, acquiring a number of human faces in the above-talked about video body, and the primary coordinate data of each human face; the native picture acquisition module is used to: from the above-mentioned multiple The target face is randomly obtained from the personal face, and the partial picture of the above-talked about video frame is intercepted in accordance 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 data of the target face; a show module, wireless item locator configured to: show the goal face in accordance with the second coordinate info. The goal tracking method described in the primary side above may notice the target choice methodology described within the second aspect when executed.