Object detection is broadly utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and ItagPro plenty of other fields. It is an important department of image processing and computer vision disciplines, everyday tracker tool and is also the core part of intelligent surveillance methods. At the same time, goal detection can also be a primary algorithm in the sector of pan-identification, which plays a significant position in subsequent tasks corresponding to face recognition, gait recognition, find my keys device crowd counting, and instance segmentation. After the first detection module performs target detection processing on the video frame to obtain the N detection targets in the video frame and the first coordinate info of every detection goal, the above method It also consists of: displaying the above N detection targets on a screen. The first coordinate info corresponding to the i-th detection goal; acquiring the above-mentioned video body; positioning within the above-mentioned video frame in accordance with the first coordinate information corresponding to the above-talked about i-th detection target, iTagPro smart tracker obtaining a partial picture of the above-talked about video body, and figuring out 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-mentioned first coordinate data corresponding to the i-th detection target is used for positioning within the above-talked about video body, including: in keeping with the expanded first coordinate information corresponding to the i-th detection target The coordinate information locates in the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, buying place data of the i-th detection object in the i-th picture to obtain the second coordinate info. The second detection module performs target detection processing on the jth picture to determine the second coordinate information of the jth detected target, the place j is a positive integer not higher than N and never equal to i. Target detection processing, ItagPro acquiring a number of faces in the above video frame, and find my keys device first coordinate data of each face; randomly obtaining target faces from the above multiple faces, and intercepting partial images of the above video frame in response to the above first coordinate information ; performing goal detection processing on the partial picture by the second detection module to obtain second coordinate info of the target face; displaying the goal face according to the second coordinate data.

Display a number of faces in the above video body on the display screen. Determine the coordinate record in line with the first coordinate info of each face above. The primary coordinate data corresponding to the goal face; acquiring the video body; and positioning in the video frame in response to the first coordinate info corresponding to the target face to acquire a partial picture of the video frame. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate information corresponding to the above-mentioned target face is used for positioning in the above-mentioned video frame, including: in accordance with the above-talked about extended first coordinate information corresponding to the above-mentioned target face. In the detection process, if the partial picture consists of the target face, find my keys device buying position information of the target face in the partial image to obtain the second coordinate information. The second detection module performs goal detection processing on the partial picture to find my keys device out the second coordinate info of the opposite goal face.

In: performing goal detection processing on the video body of the above-mentioned video by means of 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 each human face; the native image acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the non-public face, find my keys device and the partial picture of the above-talked about video frame is intercepted in line with the above-talked about first coordinate data; the second detection module is used to: carry out target detection processing on the above-talked about partial image through the above-talked about second detection module, in order to obtain the above-talked about The second coordinate info of the goal face; a display module, configured to: display the goal face in response to the second coordinate info. The goal monitoring technique described in the first side above could realize the target selection methodology described within the second aspect when executed.