Heuristic Maximum Clique Based Identity Switches Awareness for Tracking

DOI

10.2991/acaai-18.2018.30How to use a DOI?

Keywords

Multi-target tracking; Identity Switches; Maximum clique problem

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  - 10.2991/acaai-18.2018.30
ID  - Li2018/03
ER  -