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Object detection is broadly used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of other fields. It is a vital branch of picture processing and computer vision disciplines, and can also be the core a part of clever surveillance methods. At the identical time, goal detection can be a primary algorithm in the sector of pan-identification, which performs a significant role in subsequent duties comparable to face recognition, gait recognition, crowd counting, and instance segmentation. After the first detection module performs target detection processing on the video body to acquire the N detection targets in the video body and the first coordinate data of each detection target, the above method It additionally consists of: displaying the above N detection targets on a display. The first coordinate information corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning in the above-talked about video frame in accordance with the first coordinate data corresponding to the above-talked about i-th detection goal, acquiring a partial image of the above-talked about video frame, and figuring out the above-talked about partial image is the i-th picture above.
The expanded first coordinate info corresponding to the i-th detection target; the above-mentioned first coordinate info corresponding to the i-th detection target is used for positioning within the above-talked about video body, together with: according to the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates in the above video body. Performing object detection processing, if the i-th image includes the i-th detection object, acquiring place info of the i-th detection object in the i-th image to acquire the second coordinate info. The second detection module performs goal detection processing on the jth image to find out the second coordinate information of the jth detected target, where j is a constructive integer not better than N and not equal to i. Target detection processing, obtaining a number of faces within the above video body, and first coordinate information of each face; randomly obtaining goal faces from the above a number of faces, and intercepting partial photographs of the above video frame based on the above first coordinate info ; performing goal detection processing on the partial image by means of the second detection module to obtain second coordinate information of the goal face; displaying the goal face in accordance with the second coordinate information.
Display multiple faces in the above video body on the display. Determine the coordinate record in line with the first coordinate data of each face above. The primary coordinate information corresponding to the goal face; buying the video frame; and positioning within the video body according to the primary coordinate data corresponding to the goal face to obtain a partial image of the video body. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate info corresponding to the above-talked about goal face is used for positioning in the above-talked about video frame, including: in accordance with the above-mentioned prolonged first coordinate info corresponding to the above-talked about goal face. In the detection process, if the partial image contains the goal face, acquiring position data of the goal face in the partial picture to obtain the second coordinate info. The second detection module performs target detection processing on the partial image to determine the second coordinate information of the other target face.