Heuristic Maximum Clique Based Identity Switches Awareness for Tracking
- https://doi.org/10.2991/acaai-18.2018.30How to use a DOI?
- Multi-target tracking; Identity Switches; Maximum clique problem
Multi-target tracking is a popular research topic in the field of computer vision. Most recent works based on tracking-by-detection paradigm have trouble when dealing with tracking errors (i.e. identity switches) that are caused by overlapping of different pedestrians. In this work, we propose a novel method which is capable to perceive the mismatched tracklets by using an Identity Switch Awareness Algorithm based on iterative maximum clique searching. Besides, we present an optimal method to accelerate the maximum clique searching process to alleviate the cost of computing. Finally, we introduce this algorithm into a network flow tracking method and test the validity of it on five challenging sequences. The results show obvious improvement on MOTA and IDs.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chao Li AU - Di Cui AU - Hao Sheng AU - Jiahui Chen AU - Yang Zhang PY - 2018/03 DA - 2018/03 TI - Heuristic Maximum Clique Based Identity Switches Awareness for Tracking BT - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) PB - Atlantis Press SP - 129 EP - 133 SN - 1951-6851 UR - https://doi.org/10.2991/acaai-18.2018.30 DO - https://doi.org/10.2991/acaai-18.2018.30 ID - Li2018/03 ER -