FIG. Four Of The Current Disclosure

Object detection is broadly used in robot navigation, portable tracking tag clever video surveillance, industrial inspection, aerospace and lots of other fields. It is a crucial department of picture processing and ItagPro pc imaginative and iTagPro bluetooth tracker prescient disciplines, and can be the core a part of intelligent surveillance methods. At the identical time, goal detection can also be a primary algorithm in the sphere of pan-identification, which plays an important function 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 body to obtain the N detection targets in the video body and ItagPro the first coordinate data of each detection target, the above methodology It additionally contains: displaying the above N detection targets on a display screen. The primary coordinate information corresponding to the i-th detection goal; acquiring the above-mentioned video body; positioning within the above-mentioned video body in keeping with the first coordinate info corresponding to the above-talked about i-th detection target, acquiring a partial image of the above-mentioned video frame, and figuring out the above-mentioned partial image is the i-th image above.



The expanded first coordinate information corresponding to the i-th detection target; the above-talked about first coordinate data corresponding to the i-th detection target is used for positioning in the above-talked about video body, iTagPro bluetooth tracker including: in keeping with the expanded first coordinate data corresponding to the i-th detection target The coordinate information locates in the above video frame. Performing object detection processing, if the i-th picture consists of the i-th detection object, buying position data of the i-th detection object in the i-th image to obtain the second coordinate data. The second detection module performs goal detection processing on the jth image to find out the second coordinate info of the jth detected target, the place j is a optimistic integer not greater than N and never equal to i. Target detection processing, acquiring a number of faces within the above video body, and first coordinate information of every face; randomly acquiring target faces from the above a number of faces, and intercepting partial photos of the above video body in line with the above first coordinate information ; performing goal detection processing on the partial picture by means of the second detection module to acquire second coordinate data of the target face; displaying the goal face in keeping with the second coordinate information.



Display a number of faces within the above video body on the display. Determine the coordinate checklist in response to the primary coordinate info of each face above. The first coordinate data corresponding to the goal face; acquiring the video frame; and positioning in the video frame in accordance with the first coordinate info corresponding to the goal face to obtain a partial picture of the video body. The prolonged first coordinate data corresponding to the face; the above-mentioned first coordinate info corresponding to the above-talked about goal face is used for positioning within the above-mentioned video frame, together with: in keeping with the above-mentioned extended first coordinate info corresponding to the above-mentioned target face. Within the detection process, if the partial picture consists of the goal face, acquiring position data of the target face within the partial image to obtain the second coordinate information. The second detection module performs goal detection processing on the partial picture to determine the second coordinate information of the other goal face.



In: performing target detection processing on the video frame of the above-mentioned video by the above-talked about first detection module, acquiring a number of human faces in the above-mentioned video body, and the primary coordinate data of every human face; the local picture acquisition module is used to: from the above-talked about a number of The target face is randomly obtained from the private face, and the partial image of the above-mentioned video body is intercepted in keeping with the above-talked about first coordinate info; the second detection module is used to: carry out target detection processing on the above-talked about partial image via the above-mentioned second detection module, so as to acquire the above-talked about The second coordinate info of the goal face; a display module, configured to: display the target face according to the second coordinate information. The goal tracking method described in the primary side above may understand the goal selection technique described within the second side when executed.