The bathroom is arguably the final bastion of privateness, iTagPro smart tracker but quickly a new high-tech lavatory could possibly be monitoring your each motion. Researchers on the European Space Agency (ESA) and iTagPro smart device MIT have teamed up with sanitation iTagPro smart tracker specialists to create the ‘FitLoo’ which screens human waste for iTagPro smart tracker early signs of iTagPro smart tracker illness. "The rest room gives an unbelievable alternative for individuals to realize management of their well being," stated Michael iTagPro smart tracker Lindenmayer, iTagPro smart tracker digital well being and ItagPro good sanitation lead on the Toilet Board Coalition, iTagPro device which represents many leading rest room manufacturers. "At the second is individuals solely go to the doctor when they are sick. We don't listen to our bodies enough, but the toilet is listening each time we use it. The project relies on automated pattern testing know-how already used by astronauts to observe health in area. For instance, the International Space Station (ISS) has been trialling a gadget known as the Urine Monitoring System which checks small amount of fluid when astronauts urinate.

Object detection is widely utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of different fields. It is an important department of image processing and laptop vision disciplines, and can also be the core part of intelligent surveillance techniques. At the same time, target detection can also be a fundamental algorithm in the field of pan-identification, which plays a significant role in subsequent duties comparable to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs target detection processing on the video body to acquire the N detection targets within the video frame and the primary coordinate data of each detection goal, the above technique It additionally contains: displaying the above N detection targets on a display. The first coordinate information corresponding to the i-th detection target; obtaining the above-mentioned video body; positioning in the above-talked about video body in keeping with the first coordinate info corresponding to the above-mentioned i-th detection target, obtaining a partial picture of the above-talked about video body, and figuring out the above-mentioned partial image is the i-th picture above.

The expanded first coordinate data 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 within the above-mentioned video body, including: in keeping with the expanded first coordinate data corresponding to the i-th detection target The coordinate info locates in the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, buying 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 determine the second coordinate data of the jth detected goal, the place j is a positive integer not better than N and not equal to i. Target detection processing, acquiring multiple faces within the above video frame, and first coordinate data of each face; randomly acquiring goal faces from the above a number of faces, and intercepting partial pictures of the above video body in keeping with the above first coordinate info ; performing target detection processing on the partial image by means of the second detection module to acquire second coordinate info of the goal face; displaying the target face based on the second coordinate data.

Display multiple faces within the above video body on the screen. Determine the coordinate record based on the first coordinate info of every face above. The primary coordinate data corresponding to the target face; acquiring the video frame; and positioning within the video body in accordance with the primary coordinate data corresponding to the target face to obtain a partial picture of the video frame. The prolonged first coordinate info corresponding to the face; the above-mentioned first coordinate information corresponding to the above-talked about goal face is used for positioning in the above-mentioned video body, including: in response to the above-talked about prolonged first coordinate info corresponding to the above-mentioned target face. In the detection process, if the partial picture consists of the target face, buying position info of the goal face within the partial image to obtain the second coordinate info. The second detection module performs target detection processing on the partial picture to determine the second coordinate information of the other goal face.

In: performing goal detection processing on the video frame of the above-mentioned video by the above-talked about first detection module, obtaining multiple human faces within the above-talked about video body, and the primary coordinate information of every human face; the native picture acquisition module is used to: from the above-talked about a number of The target face is randomly obtained from the private face, and the partial image of the above-mentioned video frame is intercepted based on the above-mentioned first coordinate data; the second detection module is used to: carry out target detection processing on the above-mentioned partial picture by the above-talked about second detection module, in order to obtain the above-talked about The second coordinate info of the goal face; a show module, configured to: display the target face according to the second coordinate information. The goal tracking method described in the primary side above could notice the goal selection methodology described in the second aspect when executed.

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