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KALMAN Filter Based Multiple Object Tracking System
2018
International Journal of Electronics Communication & Instrumentation Engineering Research and Development
This paper presents a method for tracking multiple objects from a given video dataset. We can track many objects at a time efficiently using Kalman Filter and Optical flow algorithm. Here in this paper, we propose improved optical flow algorithm which works with high accuracy and overcomes occlusion in a video. So, improved optical flow algorithm is found to be more promising as it gives better accuracy in less computation.
doi:10.24247/ijecierdapr20181
fatcat:nih4ybvo7vgvllib6jtbfbreuu