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Object detection is broadly utilized in robot navigation, ItagPro intelligent video surveillance, industrial inspection, aerospace and lots of different fields. It is a crucial branch of image processing and laptop imaginative and iTagPro locator prescient disciplines, and can also be the core part of intelligent surveillance methods. At the same time, target detection is also a basic algorithm in the sphere of pan-identification, which plays an important role in subsequent tasks comparable to face recognition, gait recognition, crowd counting, and ItagPro instance segmentation. After the first detection module performs goal detection processing on the video frame to acquire the N detection targets within the video frame and itagpro bluetooth the first coordinate info of every detection target, the above method It additionally consists of: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection goal; obtaining the above-mentioned video frame; positioning within the above-mentioned video body according to the first coordinate information corresponding to the above-mentioned i-th detection target, obtaining a partial picture of the above-mentioned video body, and determining the above-mentioned partial picture is the i-th image above.

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

Display a number of faces in the above video frame on the display. Determine the coordinate checklist in line with the primary coordinate data of every face above. The first coordinate information corresponding to the target face; acquiring the video body; and positioning in the video body in accordance with the first coordinate data corresponding to the target face to acquire a partial picture of the video frame. The prolonged first coordinate data corresponding to the face; the above-talked about first coordinate data corresponding to the above-talked about target face is used for positioning in the above-mentioned video body, together with: in line with the above-talked about extended first coordinate information corresponding to the above-talked about goal face. In the detection course of, if the partial image consists of the target face, acquiring place data of the target face within the partial image to acquire the second coordinate info. The second detection module performs target detection processing on the partial image to find out the second coordinate information of the other goal face.

In: performing goal detection processing on the video frame of the above-mentioned video by means of the above-talked about first detection module, acquiring a number of human faces in the above-talked about video frame, and the first coordinate data of every human face; the native image acquisition module is used to: from the above-talked about a number of The target face is randomly obtained from the non-public face, and the partial picture of the above-talked about video frame is intercepted in response to the above-talked about first coordinate information; the second detection module is used to: carry out target detection processing on the above-mentioned partial picture by way of the above-mentioned second detection module, in order to acquire the above-talked about The second coordinate information of the goal face; a show module, configured to: show the goal face in keeping with the second coordinate info. The target monitoring methodology described in the primary side above might understand the target choice methodology described in the second facet when executed.