Demo : Fall Detection Using 3D Head Trajectory Extracted From a Single Camera Video Sequence
نویسندگان
چکیده
InWestern societies, the population grows old, and we must think about solutions to help them to stay at home in a secure environment. By providing a specific analysis of people behavior, computer vision offers a good solution for healthcare systems, and particularly for fall detection. This demo will show the results of a new method to detect falls using a monocular camera. The main characteristic of this method is the use of head 3D trajectories for fall detection.
منابع مشابه
3D Head Trajectory Using a Single Camera
Video surveillance applications need tools to track people trajectories. We present here a new method to extract the 3D head trajectory of a person in a room using only one calibrated camera. A 3D ellipsoid representing the head is used to track the person with a hierarchical particle filter. This method can run in quasi-real-time providing reasonable 3D errors for a monocular system.
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