MULTI-CUE BASED CROWD SEGMENTATION

Ya-Li Hou, Grantham K. H. Pang

Abstract

With a rough foreground region, crowd segmentation is an efficient way for human detection in dense scenarios. However, most previous work on crowd segmentation considers shape and motion cues independently. In this paper, a method to use both shape and motion cues simultaneously for crowd segmentation in dense scenarios is introduced. Some results have been shown to illustrate the improvements when multi-cue is considered. The contribution of the paper is two-fold. First, coherent motion in each individual is combined with shape cues to help segment the foreground area into individuals. Secondly, the rigid body motion in human upper-parts is observed and also used for more accurate human detection.

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Paper Citation


in Harvard Style

Hou Y. and K. H. Pang G. (2011). MULTI-CUE BASED CROWD SEGMENTATION . In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-75-1, pages 173-178. DOI: 10.5220/0003528901730178


in Bibtex Style

@conference{icinco11,
author={Ya-Li Hou and Grantham K. H. Pang},
title={MULTI-CUE BASED CROWD SEGMENTATION},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2011},
pages={173-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003528901730178},
isbn={978-989-8425-75-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - MULTI-CUE BASED CROWD SEGMENTATION
SN - 978-989-8425-75-1
AU - Hou Y.
AU - K. H. Pang G.
PY - 2011
SP - 173
EP - 178
DO - 10.5220/0003528901730178