Signal GPS Trackers
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Object detection is extensively utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and many other fields. It is a crucial branch of picture processing and laptop vision disciplines, and can be the core a part of clever surveillance techniques. At the identical time, goal detection is also a fundamental algorithm in the sector of pan-identification, which performs a vital role in subsequent duties such as face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs goal detection processing on the video frame to obtain the N detection targets in the video frame and iTagPro smart device the primary coordinate info of each detection target, the above method It additionally contains: displaying the above N detection targets on a display screen. The first coordinate information corresponding to the i-th detection goal; obtaining the above-talked about video frame; positioning within the above-mentioned video body in response to the primary coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-mentioned video body, and figuring out the above-mentioned partial image is the i-th picture above.
The expanded first coordinate data 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 within the above-mentioned video frame, together with: in line with the expanded first coordinate info corresponding to the i-th detection target The coordinate data locates within the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, buying position info of the i-th detection object within the i-th picture to acquire the second coordinate data. The second detection module performs target detection processing on the jth picture to find out the second coordinate info of the jth detected target, ItagPro where j is a positive integer not greater than N and not equal to i. Target detection processing, obtaining multiple faces within the above video frame, and first coordinate info of each face; randomly obtaining target faces from the above a number of faces, and intercepting partial images of the above video frame based on the above first coordinate info ; performing goal detection processing on the partial image via the second detection module to acquire second coordinate information of the goal face; displaying the target face in accordance with the second coordinate info.
Display a number of faces in the above video frame on the screen. Determine the coordinate record in keeping with the first coordinate information of each face above. The first coordinate data corresponding to the target face; acquiring the video body; and ItagPro positioning in the video body in response to the first coordinate info corresponding to the target face to obtain a partial image of the video frame. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate data corresponding to the above-talked about target face is used for positioning in the above-talked about video frame, together with: in accordance with the above-mentioned prolonged first coordinate info corresponding to the above-mentioned target face. In the detection course of, if the partial image includes the goal face, acquiring position information of the goal face within the partial image to acquire the second coordinate info. The second detection module performs target detection processing on the partial picture to find out the second coordinate data of the opposite target face.
In: performing goal detection processing on the video frame of the above-mentioned video through the above-talked about first detection module, obtaining multiple human faces in the above-mentioned video body, and ItagPro the primary coordinate info 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 personal face, and the partial image of the above-talked about video frame is intercepted based on the above-mentioned first coordinate information; the second detection module is used to: carry out goal detection processing on the above-mentioned partial image by the above-talked about second detection module, in order to obtain the above-mentioned The second coordinate info of the goal face; a show module, configured to: display the goal face in accordance with the second coordinate data. The target monitoring methodology described in the primary aspect above might notice the target selection method described within the second side when executed.