![]() Talked about whether do we handle the tracking based on direction of the movement ![]() Talked problems are caused by background movement Talked about frame difference comparison and object tracking ![]() We see that is not good way to proceed on After that process it shows results on white object on black background One sample works like detecting initial color to keep track and applies threshold on the picture. Week10 ~ November 4 showed and discussed latest code samples that we have Focusing on and OpenCV object detection libraries Focusing on first 30 second in presentation of the project Got advices about Senior project representation Demonstrated a demo code for object detection based on color Week9 ~ October 26 about latest condition of project The challenge is to get representative and realistic data so that you can define and then estimate an error metric" OpenCV comes with a body detector and we have used it in some of our work, so adapting it to a student project should be reasonable. I checked out OpenCV as the basis for this capability using python. The goal would be to alert a truck driver when he is backing up that a person is behind the truck. ![]() " Single camera detecting person via OpenCV - Senior Project for a dual diploma team that would put together a "motion detection" mostly "person motion detection" from a video stream.
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