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Object detection is widely utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and many different fields. It is an important department of picture processing and iTagPro official computer vision disciplines, and can be the core part of clever surveillance systems. At the same time, goal detection can be a primary algorithm in the sphere of pan-identification, which performs a vital position in subsequent duties akin to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs target detection processing on the video frame to acquire the N detection targets in the video body and the first coordinate info of each detection goal, the above method It also contains: displaying the above N detection targets on a display screen. The primary coordinate information corresponding to the i-th detection target; obtaining the above-talked about video body; positioning within the above-mentioned video body in line with the primary coordinate data corresponding to the above-mentioned i-th detection target, obtaining a partial image of the above-talked about video frame, and determining the above-talked about partial image is the i-th picture above.
The expanded first coordinate information corresponding to the i-th detection goal; the above-mentioned first coordinate info corresponding to the i-th detection target is used for positioning in the above-talked about video frame, iTagPro smart device together with: according to the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates within the above video frame. Performing object detection processing, if the i-th picture contains the i-th detection object, buying place information 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 determine the second coordinate data of the jth detected target, where j is a constructive integer not better than N and not equal to i. Target detection processing, acquiring multiple faces within the above video body, and first coordinate data of every face; randomly acquiring target faces from the above a number of faces, and intercepting partial images of the above video body in accordance with the above first coordinate info ; performing target detection processing on the partial image through the second detection module to obtain second coordinate information of the target face; displaying the target face in accordance with the second coordinate info.