Peace-of-Mind With GPS Auto Tracking

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Object detection is extensively used in robotic navigation, clever video surveillance, industrial inspection, aerospace and lots of other fields. It is an important department of picture processing and laptop imaginative and prescient disciplines, and can also be the core part of intelligent surveillance techniques. At the identical time, target detection can be a fundamental algorithm in the sector of pan-identification, which plays a significant role in subsequent tasks equivalent to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs target detection processing on the video body to obtain the N detection targets within the video body and the primary coordinate info of every detection goal, the above method It also includes: displaying the above N detection targets on a display screen. The first coordinate info corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning in the above-mentioned video frame in accordance with the first coordinate information corresponding to the above-talked about i-th detection target, acquiring a partial picture of the above-mentioned video frame, and determining the above-talked about partial picture is the i-th picture above.



The expanded first coordinate data corresponding to the i-th detection goal; the above-talked about first coordinate information corresponding to the i-th detection target is used for positioning in the above-mentioned video frame, including: in line with the expanded first coordinate information corresponding to the i-th detection target The coordinate data locates within the above video frame. Performing object detection processing, if the i-th image consists of the i-th detection object, buying place info of the i-th detection object within 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 info of the jth detected target, where j is a optimistic integer not greater than N and not equal to i. Target detection processing, obtaining multiple faces in the above video frame, and first coordinate info of each face; randomly obtaining target faces from the above a number of faces, and intercepting partial photographs of the above video body in line with the above first coordinate info ; performing goal detection processing on the partial image through the second detection module to acquire second coordinate information of the goal face; displaying the goal face in line with the second coordinate information.