Comparative Performance Evaluation of Various Color-Based Object Tracking Methods

Abstract

Extensive research in object detection and tracking has produced many techniques for detecting and tracking
objects in videos. The most widely researched techniques include color-intensity based, particle filter based and optical
flow based trackers. Each technique has its own merits and limitations. This paper presents a comparative performance
evaluation of these leading object detection and tracking techniques. After a brief overview of various techniques, viz.
particle filter, color-intensity based and color optical flow trackers, that directly or indirectly uses color for the purpose
of object detection and tracking, their performance on a test video is reported in this paper.