12:Forty seven PM PT — TMZ’s obtained the court docs through 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 bottom of the back bumper of her car to keep monitor of her whereabouts. Cassie claims Colton’s been displaying up uninvited to her L.A. Huntington Beach. She claims he takes obsessive walks to her house complicated and loitered within the alley outdoors her bedroom window at her mother or father’s Huntington Beach home at 2 AM. Cassie — who says they broke up in mid-April — goes on to claim some of the harassing text messages included accusing her of hanging out along with her previous ex-boyfriend. She alleges Colton additionally despatched anonymous text messages to her and to himself pretending to also be a sufferer of the anonymous stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking device. Based on legal docs, obtained by TMZ, Cassie filed Friday in Los Angeles. It’s at the moment unclear what her allegations are towards him and if a decide has signed off on the order.

Object detection is widely used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of other fields. It is an important branch of image processing and iTagPro bluetooth tracker laptop imaginative and prescient disciplines, iTagPro tracker and iTagPro smart tracker is also the core a part of clever surveillance techniques. At the same time, target detection can also be a fundamental algorithm in the sphere of pan-identification, which performs a vital function in subsequent tasks similar 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 body and the first coordinate info of every detection goal, the above methodology It additionally includes: displaying the above N detection targets on a display. The first coordinate data corresponding to the i-th detection target; acquiring the above-mentioned video frame; positioning in the above-mentioned video body based on the primary coordinate information corresponding to the above-mentioned i-th detection target, acquiring a partial picture of the above-mentioned video body, and figuring out 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-talked about first coordinate info corresponding to the i-th detection target is used for positioning within the above-talked about video frame, together with: ItagPro in accordance with the expanded first coordinate info corresponding to the i-th detection target The coordinate info locates within the above video frame. Performing object detection processing, if the i-th picture includes the i-th detection object, buying place data of the i-th detection object within the i-th picture to obtain the second coordinate information. The second detection module performs goal detection processing on the jth image to find out the second coordinate data of the jth detected target, the place j is a optimistic integer not better than N and never equal to i. Target detection processing, iTagPro product obtaining a number of faces within the above video frame, and iTagPro locator first coordinate information of every face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photographs of the above video frame in keeping with the above first coordinate info ; performing target detection processing on the partial picture by the second detection module to acquire second coordinate info of the target face; displaying the goal face in response to the second coordinate information.

Display a number of faces in the above video body on the display. Determine the coordinate record in accordance with the primary coordinate data of each face above. The first coordinate info corresponding to the target face; buying the video body; and positioning in the video frame in accordance with the first coordinate information corresponding to the goal face to acquire a partial image of the video body. The extended first coordinate info corresponding to the face; the above-talked about first coordinate info corresponding to the above-talked about target face is used for iTagPro smart tracker positioning in the above-talked about video frame, together with: in response to the above-talked about prolonged first coordinate information corresponding to the above-mentioned target face. In the detection process, if the partial image contains the goal face, buying position data of the target face in the partial picture to obtain the second coordinate information. The second detection module performs target detection processing on the partial picture to find out the second coordinate information of the other target face.

In: performing goal detection processing on the video body of the above-mentioned video by way of the above-mentioned first detection module, obtaining multiple human faces within the above-mentioned video frame, and the first coordinate information of every human face; the local picture acquisition module is used to: from the above-mentioned multiple The goal face is randomly obtained from the private face, and the partial picture of the above-mentioned video frame is intercepted according to the above-talked about first coordinate data; the second detection module is used to: perform target detection processing on the above-talked about partial image by the above-mentioned second detection module, so as to acquire the above-talked about The second coordinate information of the goal face; a show module, configured to: display the goal face in keeping with the second coordinate information. The goal monitoring method described in the primary side above may notice the target choice technique described within the second facet when executed.