Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking

Yang, Xue; Han, Fei; Wang, Hua; Zhang, Hao

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3522-3528.

Abstract

Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance. Despite a lot of progress, the visual tracking problem is still a challenging task due to appearance variations over time. In this paper, we propose a novel sparse tracking algorithm that well addresses temporal appearance changes, by enforcing template representability and temporal consistency (TRAC). By modeling temporal consistency, our algorithm addresses the issue of drifting away from a tracking target. By exploring the templates' long-term-short-term representability, the proposed method adaptively updates the dictionary using the most descriptive templates, which significantly improves the robustness to target appearance changes. We compare our TRAC algorithm against the state-of-the-art approaches on 12 challenging benchmark image sequences. Both qualitative and quantitative results demonstrate that our algorithm significantly outperforms previous state-of-the-art trackers.

Xue Yang, Fei Han, Hua Wang, and Hao Zhang. 2016. Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 3522–3528. https://ijcai.org/proceedings/2016/497

@inproceedings{ijcai2016p497,
  title     = {Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking},
  author    = {Yang, Xue and Han, Fei and Wang, Hua and Zhang, Hao},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {3522--3528},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/497},
}

TY  - CPAPER
TI  - Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking
AU  - Yang, Xue
AU  - Han, Fei
AU  - Wang, Hua
AU  - Zhang, Hao
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 3522
EP  - 3528
UR  - https://ijcai.org/proceedings/2016/497
ER  -