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Object detection is broadly used in robotic navigation, ItagPro clever video surveillance, industrial inspection, aerospace and many other fields. It is an important branch of picture processing and pc imaginative and prescient disciplines, and is also the core a part of intelligent surveillance programs. At the identical time, goal detection can also be a basic algorithm in the sector of pan-identification, iTagPro support which plays a vital position in subsequent tasks equivalent to face recognition, itagpro device gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs goal detection processing on the video frame to obtain the N detection targets within the video body and iTagPro key finder the first coordinate data of every detection goal, the above methodology It also consists of: ItagPro displaying the above N detection targets on a screen. The primary coordinate information corresponding to the i-th detection target; obtaining the above-mentioned video body; positioning in the above-mentioned video frame in accordance with the first coordinate data corresponding to the above-talked about i-th detection goal, obtaining a partial picture of the above-mentioned video frame, iTagPro device and figuring out the above-mentioned partial picture is the i-th picture above.

The expanded first coordinate info corresponding to the i-th detection target; the above-talked about first coordinate info corresponding to the i-th detection goal is used for positioning within the above-talked about video body, including: in response to the expanded first coordinate data corresponding to the i-th detection target The coordinate info locates within the above video frame. Performing object detection processing, if the i-th picture consists of the i-th detection object, acquiring position data of the i-th detection object within the i-th picture to obtain the second coordinate information. The second detection module performs target detection processing on the jth image to determine the second coordinate information of the jth detected target, the place j is a constructive integer not larger than N and never equal to i. Target detection processing, acquiring multiple faces in the above video frame, and first coordinate data of each face; randomly acquiring target faces from the above multiple faces, and intercepting partial photographs of the above video body according to the above first coordinate data ; performing goal detection processing on the partial picture by the second detection module to obtain second coordinate info of the target face; displaying the target face according to the second coordinate info.

Display multiple faces in the above video body on the screen. Determine the coordinate list based on the first coordinate info of each face above. The primary coordinate info corresponding to the goal face; buying the video frame; and positioning within the video body based on the first coordinate data corresponding to the target face to obtain a partial picture of the video frame. The prolonged first coordinate info corresponding to the face; the above-mentioned first coordinate data corresponding to the above-mentioned target face is used for positioning in the above-talked about video frame, together with: in line with the above-talked about extended first coordinate information corresponding to the above-talked about target face. Within the detection process, if the partial picture includes the target face, acquiring position information of the goal face in the partial image to acquire the second coordinate info. The second detection module performs goal detection processing on the partial picture to determine the second coordinate data of the other goal face.