Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car

12:Forty seven PM PT -- TMZ's obtained the courtroom docs by which 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 underside of the again bumper of her automobile to keep track 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 loitered within the alley outdoors 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 assert a few of the harassing textual content messages included accusing her of hanging out with her previous ex-boyfriend. She alleges Colton additionally despatched nameless textual content messages to her and to himself pretending to also be a sufferer of the nameless stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking iTagPro smart device. In accordance with authorized docs, iTagPro smart device obtained by TMZ, Cassie filed Friday in Los Angeles. It's at present unclear what her allegations are against him and if a judge has signed off on the order.



Object detection is extensively used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and plenty of different fields. It is a vital branch of picture processing and laptop imaginative and prescient disciplines, and can also be the core a part of intelligent surveillance programs. At the identical time, target detection can also be a basic algorithm in the field of pan-identification, itagpro bluetooth which plays a vital function in subsequent duties similar to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs goal detection processing on the video frame to acquire the N detection targets in the video body and the first coordinate data of every detection target, the above methodology It also includes: pet gps alternative displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection goal; obtaining the above-talked about video body; positioning within the above-mentioned video frame according to the first coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial image of the above-mentioned video frame, and determining the above-mentioned partial image is the i-th image above.



The expanded first coordinate information corresponding to the i-th detection target; the above-mentioned first coordinate information corresponding to the i-th detection goal is used for positioning in the above-mentioned video frame, together with: iTagPro smart device according to the expanded first coordinate information corresponding to the i-th detection target The coordinate data locates in the above video body. Performing object detection processing, iTagPro smart device if the i-th image contains the i-th detection object, acquiring position information of the i-th detection object within the i-th image to obtain the second coordinate info. The second detection module performs goal detection processing on the jth image to find out the second coordinate data of the jth detected goal, iTagPro technology the place j is a positive integer not higher than N and never equal to i. Target detection processing, obtaining a number of faces in the above video frame, iTagPro features and first coordinate information of each face; randomly acquiring target faces from the above a number of faces, iTagPro smart device and intercepting partial images of the above video frame based on the above first coordinate info ; performing goal detection processing on the partial image by the second detection module to obtain second coordinate info of the target face; displaying the target face in line with the second coordinate data.



Display multiple faces in the above video frame on the display screen. Determine the coordinate listing in keeping with the primary coordinate information of each face above. The first coordinate information corresponding to the goal face; buying the video body; and positioning within the video frame according to the primary coordinate info corresponding to the goal face to acquire a partial image of the video body. The extended first coordinate information corresponding to the face; the above-mentioned first coordinate data corresponding to the above-talked about goal face is used for iTagPro smart device positioning in the above-mentioned video body, together with: in line with the above-talked about prolonged first coordinate info corresponding to the above-mentioned target face. Within the detection course of, if the partial picture consists of the goal face, buying position information of the target face within the partial picture to obtain the second coordinate info. The second detection module performs goal detection processing on the partial picture to determine the second coordinate info of the opposite goal face.



In: performing target detection processing on the video frame of the above-talked about video by the above-talked about first detection module, acquiring a number of human faces in the above-talked about video body, and the primary coordinate information of each human face; the native picture acquisition module is used to: iTagPro smart device from the above-mentioned a number of The goal face is randomly obtained from the non-public face, and the partial picture of the above-mentioned video frame is intercepted in response to the above-talked about first coordinate information; the second detection module is used to: carry out target detection processing on the above-mentioned partial picture by way of the above-mentioned second detection module, in order to obtain the above-talked about The second coordinate info of the target face; a show module, configured to: show the goal face in keeping with the second coordinate info. The target monitoring technique described in the first facet above may understand the goal selection method described in the second aspect when executed.