FIG. Four Of The Present Disclosure
Object detection is widely used in robotic navigation, intelligent video surveillance, industrial inspection, aerospace and iTagPro bluetooth tracker plenty of other fields. It is a crucial department of image processing and ItagPro pc vision disciplines, and can be the core a part of intelligent surveillance systems. At the same time, target detection can be a fundamental algorithm in the field of pan-identification, which plays a significant role in subsequent duties such as face recognition, gait recognition, crowd counting, and affordable item tracker occasion segmentation. After the primary detection module performs goal detection processing on the video frame to acquire the N detection targets in the video frame and ItagPro the primary coordinate info of every detection target, the above methodology It also consists of: displaying the above N detection targets on a screen. The first coordinate info corresponding to the i-th detection goal; acquiring the above-talked about video body; positioning within the above-talked about video frame in accordance with the primary coordinate data corresponding to the above-mentioned i-th detection target, acquiring a partial picture of the above-talked about video body, and determining the above-mentioned partial picture is the i-th image above.
The expanded first coordinate data corresponding to the i-th detection goal; the above-mentioned first coordinate information corresponding to the i-th detection target is used for positioning within the above-mentioned video frame, together with: in keeping with the expanded first coordinate information corresponding to the i-th detection goal The coordinate information locates within the above video body. Performing object detection processing, if the i-th image contains the i-th detection object, acquiring place data of the i-th detection object in the i-th image to acquire the second coordinate data. The second detection module performs goal detection processing on the jth picture to find out the second coordinate info of the jth detected target, iTagPro USA the place j is a positive integer not better than N and not equal to i. Target detection processing, acquiring multiple faces in the above video frame, and first coordinate data of each face; randomly obtaining goal faces from the above multiple faces, iTagPro USA and intercepting partial photographs of the above video frame in accordance with the above first coordinate info ; performing goal detection processing on the partial image via the second detection module to acquire second coordinate data of the goal face; displaying the target face based on the second coordinate info.
Display a number of faces within the above video frame on the display. Determine the coordinate listing based on the primary coordinate information of each face above. The primary coordinate data corresponding to the target face; buying the video body; and positioning within the video body according to the primary coordinate data corresponding to the goal face to acquire a partial picture of the video body. The prolonged 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-mentioned video body, together with: in line with the above-talked about prolonged first coordinate information corresponding to the above-mentioned goal face. In the detection course of, iTagPro USA if the partial picture includes the target face, acquiring position information of the target face in the partial picture to acquire the second coordinate data. The second detection module performs target detection processing on the partial picture to find out the second coordinate info of the other target face.
In: performing target detection processing on the video body of the above-talked about video by way of the above-talked about first detection module, acquiring multiple human faces in the above-talked about video frame, pet gps alternative and iTagPro USA the primary coordinate info of each human face; the native picture acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the non-public face, and iTagPro USA the partial picture of the above-mentioned video body 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-talked about partial picture by means of the above-talked about second detection module, iTagPro USA in order to obtain the above-mentioned The second coordinate information of the target face; a show module, configured to: display the target face in keeping with the second coordinate info. The goal tracking technique described in the first side above may realize the goal selection methodology described in the second side when executed.