Object Tracking in Low-Frame-Rate Video
| Citation: |
Porikli, F.; Tuzel, O., "Object Tracking in Low-Frame-Rate Video", SPIE Image and Video Communications and Processing, Vol. 5685, pp. 72-79, March 2005 (SPIE Publications) |
| MERL Report: | TR2005-013 |
In this paper, we present an object detection and tracking algorithm for low-frame-rate applications. We extend the standard mean-shift technique such that is is not limited within a single kernel but uses multiple kernels centered around high motion areas obtained by change detection. We also improve the convergence properties of the mean-shift by integrating two additional likelihood terms using object templates. Our simulations prove the effectiveness of the proposed method both under heavy occlusions and low frame rates down to 1-fps.
