On-line learning for computer vision workshop - OLCV'09, held in conjunction with ICCV 2009, Date: 2009/10/03 - 2009/10/03, Location: Kyoto, Japan
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Author:
Keywords:
PSI_VISICS
Abstract:
We present a multiple classifier system for model-free tracking. The tasks of detection (finding the object of interest), recognition (distinguishing similar objects in a scene), and tracking (retrieving the object to be tracked) are split into separate classifiers in the spirit of simplifying each classification task. The supervised and semi-supervised classifiers are carefully trained on-line in order to increase adaptivity while limiting accumulation of errors, i.e. drifting. In the experiments, we demonstrate real-time tracking on several challenging sequences, including multi-object tracking of faces, humans, and other objects. We outperform other on-line tracking methods especially in case of occlusions and presence of similar objects. ©2009 IEEE.