FIG. 4 Of The Present Disclosure
Object detection is widely used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of different fields. It is a crucial department of picture processing and computer vision disciplines, and can also be the core a part of clever surveillance programs. At the identical time, goal detection can be a primary algorithm in the sector of pan-identification, which plays a vital function in subsequent tasks 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 in the video frame and the primary coordinate info of every detection goal, the above methodology It also consists of: displaying the above N detection targets on a display screen. The primary coordinate information corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning within the above-talked about video frame in accordance with the primary coordinate information corresponding to the above-mentioned i-th detection target, iTagPro reviews acquiring a partial image of the above-talked about video body, and figuring out the above-talked about partial picture is the i-th picture above.
The expanded first coordinate data corresponding to the i-th detection target; the above-mentioned first coordinate info corresponding to the i-th detection goal is used for iTagPro smart device positioning in the above-mentioned video frame, together with: based on the expanded first coordinate info corresponding to the i-th detection goal The coordinate information locates within the above video frame. Performing object detection processing, if the i-th picture contains the i-th detection object, acquiring position info of the i-th detection object within the i-th image to obtain the second coordinate data. The second detection module performs goal detection processing on the jth picture to determine the second coordinate info of the jth detected goal, where j is a optimistic integer not better than N and not equal to i. Target detection processing, obtaining a number of faces in the above video body, and first coordinate data of every face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photos of the above video frame based on the above first coordinate info ; performing target detection processing on the partial image by way of the second detection module to acquire second coordinate info of the goal face; displaying the target face in response to the second coordinate data.
Display a number of faces within the above video frame on the display screen. Determine the coordinate checklist in response to the first coordinate info of every face above. The first coordinate data corresponding to the goal face; buying the video body; and positioning within the video frame in line with the first coordinate information corresponding to the goal face to acquire a partial picture of the video frame. The prolonged first coordinate information corresponding to the face; the above-talked about first coordinate information corresponding to the above-mentioned target face is used for positioning within the above-talked about video body, together with: in keeping with the above-talked about prolonged first coordinate data corresponding to the above-talked about goal face. In the detection process, if the partial image contains the goal face, iTagPro bluetooth tracker acquiring place info 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 find out the second coordinate information of the other target face.
In: performing goal detection processing on the video body of the above-talked about video by the above-talked about first detection module, acquiring multiple human faces in the above-mentioned video frame, and the first coordinate info of every human face; the local image acquisition module is used to: from the above-talked about a number of The target face is randomly obtained from the non-public face, and the partial image of the above-talked about video body is intercepted in accordance with the above-talked about first coordinate information; the second detection module is used to: iTagPro bluetooth tracker perform target detection processing on the above-mentioned partial image via the above-talked about second detection module, in order to obtain the above-mentioned The second coordinate data of the goal face; a show module, configured to: display the target face in accordance with the second coordinate information. The target tracking method described in the first facet above may understand the goal choice method described within the second facet when executed.