ML Anthology

A Nonparametric Treatment for Location/Segmentation Based Visual Tracking

Le Lu, Gregory D. Hager
CVPR 2007
doi:10.1109/CVPR.2007.382976 /cvpr/2007/lu2007cvpr-nonparametric/

Abstract

In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target's image support in moderate to high resolution videos. Both tasks are treated as an online binary classification problem using dynamic foreground/background appearance models. Our major contribution is a novel nonparametric approach that successfully maintains a temporally changing appearance model for both foreground and background. The appearance models are formulated as "bags of image patches" that approximate the true two-class appearance distributions. They are maintained using a temporal-adaptive importance resampling procedure that is based on simple nonparametric statistics of the appearance patch bags. The overall framework is independent of an specific foreground/background classification process and thus offers the freedom to use different classifiers. We demonstrate the effectiveness of our approach with extensive comparative experimental results on sequences from previous visual tracking [1, 12] and video matting [4] work as well as our own data.

PDF CVPR Semantic Scholar

Cite

Text

Lu and Hager. "A Nonparametric Treatment for Location/Segmentation Based Visual Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.382976

Markdown

[Lu and Hager. "A Nonparametric Treatment for Location/Segmentation Based Visual Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/lu2007cvpr-nonparametric/) doi:10.1109/CVPR.2007.382976

BibTeX

@inproceedings{lu2007cvpr-nonparametric,
  title     = {{A Nonparametric Treatment for Location/Segmentation Based Visual Tracking}},
  author    = {Lu, Le and Hager, Gregory D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.382976},
  url       = {https://mlanthology.org/cvpr/2007/lu2007cvpr-nonparametric/}
}