KALMAN Filter Based Multiple Object Tracking System
Journal Title: International Journal of Electronics, Communication & Instrumentation Engineering Research and Development (IJECIERD) - Year 2018, Vol 8, Issue 2
Abstract
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
Authors and Affiliations
ANITA KULKARNI, ELIZABETH RANI
Keywords
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- EP ID EP344592
- DOI 10.24247/ijecierdapr20181
- Views 155
- Downloads 0
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