ATEEZ's file label is planning to take legal action after revealing that followers of the K-pop band positioned a tracking device on its tour bus. Some devotees of the South Korean boy band iTagPro tracker have been accused of stepping over the line in their attempts to get close to its eight members-Kim Hong-joong, ItagPro Park Seong-hwa, Jeong Yun-ho, Kang Yeo-sang, Choi San, Song Min-gi, Jung Woo-younger and Choi Jong-ho. In addition, regardless of the restraints from the staff members, actions resembling intruding on personal areas and following the artist on unofficial schedules just for personal interest have brought on interruption in work and psychological suffering of the artists. It gave us a variety of time to think about our album before it was launched, and to place extra into it," Hong-joong informed British Vogue in an interview revealed in August 2020. "That break was good and dangerous at the same time. The band, whose Instagram account has greater than 5.3 million followers, saved followers entertained on the peak of the pandemic with on-line concert events and video meet and greets.

Object detection is extensively utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is an important branch of image processing and computer vision disciplines, and can also be the core part of clever surveillance techniques. At the identical time, affordable item tracker goal detection can be a basic algorithm in the sphere of pan-identification, iTagPro tracker which performs a vital position in subsequent duties resembling face recognition, gait recognition, crowd counting, iTagPro technology and instance segmentation. After the primary detection module performs target detection processing on the video frame to obtain the N detection targets within the video frame and iTagPro tracker the first coordinate info of every detection goal, the above method It additionally contains: displaying the above N detection targets on a display screen. The first coordinate data corresponding to the i-th detection target; acquiring the above-mentioned video body; positioning within the above-talked about video body in accordance with the primary coordinate information corresponding to the above-mentioned i-th detection target, ItagPro obtaining a partial image of the above-talked about video body, and figuring out the above-mentioned partial picture is the i-th picture above.

The expanded first coordinate data corresponding to the i-th detection goal; the above-mentioned first coordinate info corresponding to the i-th detection goal is used for positioning in the above-mentioned video frame, including: in accordance with the expanded first coordinate information corresponding to the i-th detection target The coordinate info locates within the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, acquiring place info 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 picture to find out the second coordinate information of the jth detected goal, iTagPro the place j is a positive integer not greater than N and not equal to i. Target detection processing, acquiring multiple faces within the above video body, and first coordinate data of each face; randomly obtaining target faces from the above multiple faces, and intercepting partial photos of the above video frame in accordance with the above first coordinate information ; performing goal detection processing on the partial image through the second detection module to obtain second coordinate information of the goal face; displaying the goal face in line with the second coordinate data.

Display multiple faces within the above video frame on the display. Determine the coordinate record in response to the primary coordinate info of every face above. The primary coordinate information corresponding to the target face; acquiring the video frame; and positioning in the video body according to the first coordinate info corresponding to the goal face to acquire a partial image of the video frame. The prolonged first coordinate information corresponding to the face; the above-talked about first coordinate info corresponding to the above-mentioned goal face is used for positioning in the above-mentioned video frame, including: in line with the above-mentioned extended first coordinate information corresponding to the above-talked about goal face. Within the detection course of, if the partial picture contains the goal face, acquiring place information of the target face in the partial image to acquire the second coordinate info. The second detection module performs goal detection processing on the partial picture to determine the second coordinate data of the opposite goal face.