Visual Tracking with Group Motion Approach

Abstract

An algorithm for tracking a single visual target is presented where visual features of target are tracked in a group tracking method. A single visual target is regarded as a group of multiple targets. The model developed allows some variations on the relative positions of the features which corresponds to some sort of non-rigidity. The approach is a combination of PDA and JPDA algorithms and using the advantages of group motion model this approach enables accurate tracking of single targets.

Cite

Text

Arslan and Demirekler. "Visual Tracking with Group Motion Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004. doi:10.1109/CVPR.2004.477

Markdown

[Arslan and Demirekler. "Visual Tracking with Group Motion Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004.](https://mlanthology.org/cvprw/2004/arslan2004cvprw-visual/) doi:10.1109/CVPR.2004.477

BibTeX

@inproceedings{arslan2004cvprw-visual,
  title     = {{Visual Tracking with Group Motion Approach}},
  author    = {Arslan, Ali Erkin and Demirekler, Mübeccel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2004},
  pages     = {131},
  doi       = {10.1109/CVPR.2004.477},
  url       = {https://mlanthology.org/cvprw/2004/arslan2004cvprw-visual/}
}