Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car > 자유게시판

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12:Forty seven PM PT -- TMZ's obtained the court docs wherein Cassie claims Colton's been stalking and harassing her with unsettling text messages. She claims Colton additionally went so far as planting a tracking device taped to the bottom of the again bumper of her automobile to maintain monitor of her whereabouts. Cassie claims Colton's been exhibiting up uninvited to her L.A. Huntington Beach. She claims he takes obsessive walks to her condo complex and loitered within the alley outside her bedroom window at her mum or iTagPro USA dad's Huntington Beach house at 2 AM. Cassie -- who says they broke up in mid-April -- goes on to say some of the harassing textual content messages included accusing her of hanging out together with her previous ex-boyfriend. She alleges Colton additionally sent nameless textual content messages to her and to himself pretending to even be a victim of the anonymous stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking device. In accordance with authorized docs, iTagPro USA obtained by TMZ, Cassie filed Friday in Los Angeles. It's currently unclear what her allegations are towards him and iTagPro USA if a judge has signed off on the order.

Object detection is extensively used in robot navigation, iTagPro key finder intelligent video surveillance, industrial inspection, aerospace and plenty of different fields. It is an important branch of picture processing and computer imaginative and prescient disciplines, and is also the core part of intelligent surveillance techniques. At the same time, target detection can be a basic algorithm in the sector iTagPro smart tracker of pan-identification, which performs an important position in subsequent tasks similar to face recognition, iTagPro USA gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs target detection processing on the video frame to obtain the N detection targets within the video body and the primary coordinate data of every detection target, the above methodology It also includes: iTagPro USA displaying the above N detection targets on a display screen. The primary coordinate data corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning in the above-talked about video frame based on the first coordinate information corresponding to the above-mentioned i-th detection goal, obtaining a partial image of the above-talked about video body, and figuring out the above-talked about partial picture is the i-th picture above.

The expanded first coordinate information 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-mentioned video frame, together with: 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 consists of the i-th detection object, buying place data 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 determine the second coordinate information of the jth detected target, iTagPro features where j is a positive integer not higher than N and iTagPro USA never equal to i. Target detection processing, obtaining multiple faces within the above video frame, and first coordinate data of each face; randomly obtaining goal faces from the above a number of faces, and iTagPro USA intercepting partial images of the above video frame based on the above first coordinate info ; performing target detection processing on the partial picture by means of the second detection module to obtain second coordinate info of the goal face; displaying the goal face in response to the second coordinate info.

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

In: performing target detection processing on the video body of the above-mentioned video via the above-mentioned first detection module, obtaining a number of human faces within the above-talked about video frame, and the first coordinate data of every human face; the native picture acquisition module is used to: iTagPro smart device from the above-mentioned multiple The target face is randomly obtained from the private face, and the partial picture of the above-mentioned video body is intercepted in keeping with the above-mentioned first coordinate data; the second detection module is used to: carry out goal detection processing on the above-talked about partial image by the above-talked about second detection module, so as to acquire the above-talked about The second coordinate data of the goal face; a display module, configured to: show the target face based on the second coordinate data. The goal tracking methodology described in the first side above might notice the target selection method described in the second aspect when executed.