ML Anthology

Modulation Domain Template Tracking

Chuong T. Nguyen, Joseph P. Havlicek, Mark B. Yeary
CVPR 2007
doi:10.1109/CVPR.2007.383457 /cvpr/2007/nguyen2007cvpr-modulation/

Abstract

For the first time, we perform normalized correlation template tracking in the modulation domain. For each frame of the video sequence, we compute a multi-component AM-FM image model that characterizes the local texture structure of objects and backgrounds. Tracking is carried out by formulating a modulation domain correlation function in the derived feature space. Using visible and longwave infrared sequences as illustrative examples, we study the performance of this new approach relative to two basic pixel domain correlation template trackers. We also present preliminary results from a new dual domain tracker that operates simultaneously in both the pixel and modulation domains.

PDF CVPR Semantic Scholar

Cite

Text

Nguyen et al. "Modulation Domain Template Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383457

Markdown

[Nguyen et al. "Modulation Domain Template Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/nguyen2007cvpr-modulation/) doi:10.1109/CVPR.2007.383457

BibTeX

@inproceedings{nguyen2007cvpr-modulation,
  title     = {{Modulation Domain Template Tracking}},
  author    = {Nguyen, Chuong T. and Havlicek, Joseph P. and Yeary, Mark B.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383457},
  url       = {https://mlanthology.org/cvpr/2007/nguyen2007cvpr-modulation/}
}