Detection and Tracking of Objects From Video File Source
What is it about?
This paper describes computer vision algorithms for detection, identification, and tracking of moving objects in a video file. The problem of multiple object tracking can be divided into two parts; detecting moving objects in each frame and associating the detections corresponding to the same object over time. New Video tracking algorithm was successfully tested using the standard walking pedestrians datasets.
Why is it important?
The experimental results show that system can operate in real time and successfully detect, track and identify multiple targets in the presence of partial occlusion.
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