원문정보
초록
영어
In this paper, we propose an effective tracking algorithm with an appearance model based on features extracted from a video frame with posture variation and camera view point adaptation by employing the non-adaptive random projections that preserve the structure of the image feature space of objects. The existing online tracking algorithms update models with features from recent video frames and the numerous issues remain to be addressed despite on the improvement in tracking. The data-dependent adaptive appearance models often encounter the drift problems because the online algorithms does not get the required amount of data for online learning. So, we propose an effective tracking algorithm with an appearance model based on features extracted from a video frame.
목차
1. INTRODUCTION
2. RELATED WORKS
3. ONLINE LEARNING
I. TRACKING
II. DETECTION
III. LEARNING
4. ADAPTIVE APPEARANCE MODEL
5. RESULT AND ANALYSIS
6. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES