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Proceedings Paper

Multiple human tracking with dual cost graphs
Author(s): Nobuhiro Suga; Seiya Ito; Naoshi Kaneko; Kazuhiko Sumi
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Paper 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 dataset1, 2 and showed that it balances between accuracy and speed.

Paper Details

Date Published: 16 July 2019
PDF: 7 pages
Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721A (16 July 2019); doi: 10.1117/12.2521701
Show Author Affiliations
Nobuhiro Suga, Aoyama Gakuin Univ. (Japan)
Seiya Ito, Aoyama Gakuin Univ. (Japan)
Naoshi Kaneko, Aoyama Gakuin Univ. (Japan)
Kazuhiko Sumi, Aoyama Gakuin Univ. (Japan)

Published in SPIE Proceedings Vol. 11172:
Fourteenth International Conference on Quality Control by Artificial Vision
Christophe Cudel; Stéphane Bazeille; Nicolas Verrier, Editor(s)

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