GPS Tracking Software

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Object detection is widely used in robotic navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a vital department of picture processing and laptop vision disciplines, and can also be the core part of clever surveillance methods. At the identical time, goal detection can also be a basic algorithm in the sector of pan-identification, which performs a significant position in subsequent tasks equivalent 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 in the video frame and the primary coordinate data of each detection goal, the above method It also consists of: displaying the above N detection targets on a display. The first coordinate info corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning within the above-mentioned video frame in keeping with the primary coordinate information corresponding to the above-talked about i-th detection goal, acquiring a partial image of the above-mentioned video frame, and determining the above-mentioned partial picture is the i-th picture above.



The expanded first coordinate information 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, together with: based on the expanded first coordinate information corresponding to the i-th detection goal The coordinate information 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 acquire the second coordinate info. The second detection module performs target detection processing on the jth picture to determine the second coordinate info of the jth detected target, the place j is a optimistic integer not larger than N and never equal to i. Target detection processing, acquiring a number of faces in the above video frame, and first coordinate information of each face; randomly acquiring target faces from the above a number of faces, and intercepting partial photos of the above video frame based on the above first coordinate information ; performing goal detection processing on the partial picture via the second detection module to acquire second coordinate information of the goal face; displaying the goal face based on the second coordinate data.



Display multiple faces within 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 information corresponding to the goal face; buying the video frame; and positioning within the video body according to the primary coordinate info corresponding to the goal face to obtain a partial picture of the video frame. 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 positioning in the above-talked about video body, including: in response to the above-mentioned prolonged first coordinate info corresponding to the above-mentioned target face. Within the detection process, if the partial picture includes the goal face, acquiring position data 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 determine the second coordinate info of the opposite goal face.



In: performing goal detection processing on the video frame of the above-mentioned video by means of the above-talked about first detection module, obtaining a number of human faces in the above-talked about video frame, and the primary coordinate information of each human face; the local image acquisition module is used to: from the above-mentioned a number of The target face is randomly obtained from the private face, and the partial picture of the above-talked about video body is intercepted in response to the above-talked about first coordinate data; the second detection module is used to: perform goal detection processing on the above-mentioned partial image by way of the above-talked about second detection module, so as to obtain the above-talked about The second coordinate info of the target face; a display module, configured to: ItagPro display the target face according to the second coordinate data. The target monitoring technique described in the primary aspect above might notice the target selection technique described within the second aspect when executed.