Multiple human tracking with dual cost graphs

Nobuhiro Suga; Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi

doi:10.1117/12.2521701

16 July 2019 Multiple human tracking with dual cost graphs

Nobuhiro Suga, Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi

Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision; 111721A (2019) https://doi.org/10.1117/12.2521701
Event: Fourteenth International Conference on Quality Control by Artificial Vision, 2019, Mulhouse, France

Abstract

Visual tracking gives a trajectory of a person’s movement in a video. It is an important element of human’s behavior analysis. However, the performance of the most visual tracking methods does not satisfy precision and speed for use in the real world. High accuracy and low computation complexity are demanded but these two have a relation of trade-off. Therefore, we aim to propose a tracking method that balances accuracy and computational complexity. In this paper, we proposed a method named Dual Cost Graph (DCG)-Tracker using the graphs referred to as a clique graph and a flow network. We evaluated DCG-Tracker with PNNL parking lot 1 dataset^{1, 2} and showed that it balances between accuracy and speed.

Citation Download Citation

Nobuhiro Suga, Seiya Ito, Naoshi Kaneko, and Kazuhiko Sumi "Multiple human tracking with dual cost graphs", Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721A (16 July 2019); https://doi.org/10.1117/12.2521701

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