Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car

12:Forty seven PM PT -- TMZ's obtained the court docs by which Cassie claims Colton's been stalking and harassing her with unsettling text messages. She claims Colton additionally went as far as planting a tracking device taped to the bottom of the back 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 residence advanced and ItagPro loitered in the alley exterior her bedroom window at her dad or mum'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 text messages included accusing her of hanging out along with her old ex-boyfriend. She alleges Colton also despatched anonymous textual content messages to her and to himself pretending to even be a sufferer of the anonymous stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking device. In response to authorized docs, iTagPro device obtained by TMZ, Cassie filed Friday in Los Angeles. It's presently unclear what her allegations are against him and if a decide has signed off on the order.

Object detection is broadly used in robot navigation, intelligent video surveillance, ItagPro industrial inspection, aerospace and many different fields. It is a vital department of picture processing and computer imaginative and iTagPro geofencing prescient disciplines, and is also the core a part of clever surveillance methods. At the same time, ItagPro target detection can also be a fundamental algorithm in the sphere of pan-identification, which plays a significant role in subsequent duties reminiscent of face recognition, gait recognition, crowd counting, iTagPro bluetooth tracker and occasion segmentation. After the primary detection module performs target detection processing on the video body to acquire the N detection targets in the video frame and ItagPro the primary coordinate info of every detection goal, the above technique It also consists of: displaying the above N detection targets on a screen. The first coordinate data corresponding to the i-th detection target; acquiring the above-talked about video body; positioning within the above-talked about video body based on the primary coordinate info corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-talked about video frame, and determining the above-mentioned partial image is the i-th picture above.

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

Display a number of faces in the above video frame on the display. Determine the coordinate checklist in keeping with the first coordinate data of each face above. The primary coordinate data corresponding to the target face; buying the video frame; and positioning in the video frame in accordance with the first coordinate info corresponding to the goal face to obtain a partial picture of the video frame. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate info corresponding to the above-mentioned target face is used for positioning within the above-mentioned video frame, including: in accordance with the above-talked about prolonged first coordinate information corresponding to the above-mentioned goal face. In the detection process, if the partial picture includes the goal face, buying place info of the goal face in the partial image to obtain the second coordinate data. The second detection module performs goal detection processing on the partial image to determine the second coordinate info of the other goal face.

In: performing goal detection processing on the video frame of the above-talked about video via the above-talked about first detection module, obtaining a number of human faces in the above-talked about video frame, and the primary coordinate info of each human face; the local picture acquisition module is used to: from the above-talked about multiple The target face is randomly obtained from the non-public face, ItagPro and the partial image of the above-talked about video body is intercepted in line with the above-mentioned first coordinate info; the second detection module is used to: perform target detection processing on the above-talked about partial picture via the above-mentioned second detection module, so as to obtain the above-talked about The second coordinate information of the goal face; a show module, ItagPro configured to: display the goal face in accordance with the second coordinate information. The target monitoring method described in the first facet above might realize the goal choice methodology described in the second side when executed.