ML Anthology

Interactive Offline Tracking for Color Objects

Yichen Wei, Jian Sun, Xiaoou Tang, Heung-Yeung Shum
ICCV 2007 pp. 1-8
doi:10.1109/ICCV.2007.4408949 /iccv/2007/wei2007iccv-interactive/

Abstract

In this paper, we present an interactive offline tracking system for generic color objects. The system achieves 60-100 fps on a 320 x 240 video. The user can therefore easily refine the tracking result in an interactive way. To fully exploit user input and reduce user interaction, the tracking problem is addressed in a global optimization framework. The optimization is efficiently performed through three steps. First, from user's input we train a fast object detector that locates candidate objects in the video based on proposed features called boosted color bin. Second, we exploit the temporal coherence to generate multiple object trajectories based on a global best-first strategy. Last, an optimal object path is found by dynamic programming.

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Cite

Text

Wei et al. "Interactive Offline Tracking for Color Objects." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408949

Markdown

[Wei et al. "Interactive Offline Tracking for Color Objects." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/wei2007iccv-interactive/) doi:10.1109/ICCV.2007.4408949

BibTeX

@inproceedings{wei2007iccv-interactive,
  title     = {{Interactive Offline Tracking for Color Objects}},
  author    = {Wei, Yichen and Sun, Jian and Tang, Xiaoou and Shum, Heung-Yeung},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2007},
  pages     = {1-8},
  doi       = {10.1109/ICCV.2007.4408949},
  url       = {https://mlanthology.org/iccv/2007/wei2007iccv-interactive/}
}