Comparative Performance Evaluation of Various Color-Based Object Tracking Methods
| Author(s) | : | Rachna Verma |
| Institution | : | Department of Computer Science and Engineering, Faculty of Engineering, JNV University, Jodhpur, Rajasthan, India |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 774-779 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Extensive research in object detection and tracking has produced many techniques for detecting and trackingobjects in videos. The most widely researched techniques include color-intensity based, particle filter based and opticalflow based trackers. Each technique has its own merits and limitations. This paper presents a comparative performanceevaluation 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 purposeof object detection and tracking, their performance on a test video is reported in this paper.
Rachna Verma, “Comparative Performance Evaluation of Various Color-Based Object Tracking Methods”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 774-779, November 2017.
