Quelltext der Seite Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car

<br>12:47 PM PT -- TMZ's obtained the court docket docs during which Cassie claims Colton's been stalking and harassing her with unsettling textual content messages. She claims Colton additionally went so far as planting a tracking [https://images.google.com.br/url?sa=t&url=http%3A%2F%2Fchessdatabase.science%2Fwiki%2FITagPro_Official_Overview_And_Features iTagPro Device] taped to the bottom of the again bumper of her automobile to maintain 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 condominium complicated and loitered within the alley outdoors her bedroom window at her mum or dad's Huntington Beach house at 2 AM. Cassie -- who says they broke up in mid-April -- goes on to assert among the harassing textual content messages included accusing her of hanging out along with her outdated ex-boyfriend. She alleges Colton also sent nameless textual content messages to her and to himself pretending to also be a victim of the nameless stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking device. In line with authorized docs, obtained by TMZ, Cassie filed Friday in Los Angeles. It's at present unclear what her allegations are against him and if a choose has signed off on the order.<br><br><br><br>Object detection is widely used in robot navigation,  [http://bwiki.dirkmeyer.info/index.php?title=Benutzer:QFOWendell iTagPro Device] clever video surveillance, industrial inspection, aerospace and many other fields. It is a vital branch of image processing and pc imaginative and prescient disciplines, and can be the core part of intelligent surveillance methods. At the identical time, target detection can also be a primary algorithm in the sphere of pan-identification, which plays a vital function in subsequent tasks corresponding to face recognition, 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 frame and the first coordinate information of every detection target, the above technique It also contains: displaying the above N detection targets on a display screen. The primary coordinate info corresponding to the i-th detection target; acquiring the above-talked about video frame; positioning in the above-mentioned video body in line with the primary coordinate info corresponding to the above-mentioned i-th detection target, acquiring a partial image of the above-talked about video body, and figuring out the above-talked about partial image is the i-th image above.<br><br><br><br>The expanded first coordinate data corresponding to the i-th detection target; the above-mentioned first coordinate information corresponding to the i-th detection goal is used for positioning within the above-mentioned video body, including: in response to the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates in the above video body. Performing object detection processing, if the i-th image includes the i-th detection object, acquiring position 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 target, the place j is a positive integer not greater than N and never equal to i. Target detection processing, acquiring multiple faces in the above video body, and first coordinate info of each face; randomly acquiring goal faces from the above multiple faces, and intercepting partial pictures of the above video body in keeping with the above first coordinate info ; performing goal detection processing on the partial picture through the second detection module to acquire second coordinate info of the goal face; displaying the target face in keeping with the second coordinate data.<br><br><br><br>Display multiple faces in the above video frame on the display screen. Determine the coordinate checklist in line with the first coordinate info of each face above. The first coordinate data corresponding to the goal face; acquiring the video body; and positioning in the video body in accordance with the primary coordinate data corresponding to the goal face to acquire a partial picture of the video frame. The extended first coordinate data corresponding to the face; the above-talked about first coordinate information corresponding to the above-mentioned goal face is used for positioning within the above-mentioned video body, together with: according to the above-talked about extended first coordinate information corresponding to the above-talked about target face. Within the detection process, if the partial picture consists of the target face, buying position data of the target 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 information of the opposite target face.<br><br><br><br>In: performing goal detection processing on the video frame of the above-mentioned video by way of the above-mentioned first detection module, obtaining a number of human faces in the above-mentioned video body, and the first coordinate info of every human face; the local image acquisition module is used to: from the above-mentioned a number of The target face is randomly obtained from the personal face, and the partial picture of the above-mentioned video frame is intercepted based on the above-mentioned first coordinate data; the second detection module is used to: perform goal detection processing on the above-mentioned partial image by way of the above-talked about second detection module, in order to obtain the above-talked about The second coordinate info of the target face; a show module, configured to: display the goal face in line with the second coordinate info. The goal tracking methodology described in the primary aspect above could understand the target choice method described in the second aspect when executed.<br>