KALMAN Filter Based Multiple Object Tracking System
Elizabeth Rani Anita Kulkarni Anita Kulkarni, TJPRC · International journal of electronics, communication & instrumentation engineering research and development/International journal of electronics, communiction & instrumentation engineering research and development · 2018
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.