Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, but not Simpler than Recognition

S. Stalder, H. Grabner and L. Van Gool
OLCV 09: 3rd On-line learning for Computer Vision Workshop, Kyoto, Japan
September 2009

Abstract

We present a multiple classifier system for model-free tracking. The tasks of detection (finding the object of inter- est), 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.


Download in pdf format
@InProceedings{eth_biwi_00707,
  author = {S. Stalder and H. Grabner and L. Van Gool},
  title = {Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, but not Simpler than Recognition},
  booktitle = {OLCV 09: 3rd On-line learning for Computer Vision Workshop, Kyoto, Japan},
  year = {2009},
  month = {September},
  publisher = {IEEE},
  keywords = {}
}