Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car
12:Forty seven PM PT -- TMZ's obtained the courtroom docs wherein Cassie claims Colton's been stalking and harassing her with unsettling textual content messages. She claims Colton also went so far as planting a Tagsley tracking card device taped to the underside of the back bumper of her car to keep 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 apartment complex and Tagsley tracking card loitered within the alley exterior her bedroom window at her parent's Huntington Beach home at 2 AM. Cassie -- who says they broke up in mid-April -- goes on to claim among the harassing textual content messages included accusing her of hanging out along with her old ex-boyfriend. She alleges Colton also despatched nameless textual content messages to her and to himself pretending to also 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, obtained by TMZ, Cassie filed Friday in Los Angeles. It's at the moment unclear what her allegations are in opposition to him and Tagsley wallet card if a decide has signed off on the order.
Object detection is widely used in robotic navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a crucial branch of image processing and pc vision disciplines, and can be the core part of clever surveillance programs. At the identical time, target detection is also a primary algorithm in the sector of pan-identification, which plays a significant position in subsequent tasks such as face recognition, gait recognition, crowd counting, and Tagsley tracking card occasion 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 the primary coordinate data of each detection target, the above methodology It additionally contains: displaying the above N detection targets on a screen. The primary coordinate data corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning within the above-talked about video body in keeping with the primary coordinate info corresponding to the above-mentioned i-th detection goal, obtaining a partial image of the above-talked about video frame, and determining the above-mentioned partial image is the i-th image above.
The expanded first coordinate info corresponding to the i-th detection goal; the above-talked about first coordinate information corresponding to the i-th detection goal is used for positioning in the above-mentioned video frame, together with: in line with the expanded first coordinate data corresponding to the i-th detection target The coordinate information locates within the above video body. Performing object detection processing, if the i-th image consists of the i-th detection object, acquiring place info of the i-th detection object in the i-th image to acquire the second coordinate info. The second detection module performs goal detection processing on the jth picture to find out the second coordinate info of the jth detected goal, the place j is a optimistic integer not better than N and never equal to i. Target detection processing, acquiring a number of faces within the above video body, and first coordinate data of each face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photographs of the above video body based on the above first coordinate information ; performing goal detection processing on the partial picture by the second detection module to acquire second coordinate data of the goal face; displaying the goal face in keeping with the second coordinate information.