Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Massachusetts, United States Of America, 7 - 12 June 2015, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/cvprw.2015.7301290
- City: Massachusetts
- Country: United States Of America
- Open Archive Collection: AVESIS Open Access Collection
- Middle East Technical University Affiliated: No
Abstract
The subject of this paper is the visual object tracking in infrared (IR) videos. Our contribution is twofold. First, the performance behaviour of the state-of-the-art trackers is investigated via a comparative study using IR-visible band video conjugates, i.e., video pairs captured observing the same scene simultaneously, to identify the IR specific challenges. Second, we propose a novel ensemble based tracking method that is tuned to IR data. The proposed algorithm sequentially constructs and maintains a dynamical ensemble of simple correlators and produces tracking decisions by switching among the ensemble correlators depending on the target appearance in a computationally highly efficient manner We empirically show that our algorithm significantly outperforms the state-of-the-art trackers in our extensive set of experiments with IR imagery.