Cited By
View all- Hou YPang GHao X(2018)Crowd Segmentation Using both Appearance and Stereo InformationJournal of Signal Processing Systems10.1007/s11265-017-1258-290:3(421-432)Online publication date: 1-Mar-2018
Multi-cue-based crowd segmentation in stereo vision
Pages 93 - 101
Abstract
People counting and human detection have always been important objectives in visual surveillance. With the decrease in the cost of stereo cameras, they can potentially be used to develop new algorithms and achieve better accuracy. This paper introduces a multi-cue-based method for individual person segmentation in stereo vision. Shape cues inside the crowd are explored with a block-based Implicit Shape Model. Depth cues are obtained from the disparity values of some foreground blobs, which are calculated concurrently during crowd segmentation. Crowd segmentation is therefore achieved with evidences from both shape and depth cues. The methods were evaluated on two video sequences. The results show that the segmentation performance has been improved when depth cues are considered.
References
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- Multi-cue-based crowd segmentation in stereo vision
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Information
Published In
August 2011
605 pages
ISBN:9783642236716
Sponsors
- IAPR: International Association for Pattern Recognition
- Vicerrectorado de Investigación, Universidad de Sevilla: Vicerrectorado de Investigación, Universidad de Sevilla
- Ministerio de Ciencia e Innovación, Spain
- Escuela Técnica superier de Ingeniería Informática, Universidad de Seville, Spain: Escuela Técnica superier de Ingeniería Informática, Universidad de Seville, Spain
- Department of Applied Mathematics I, University of Seville, Spain: Department of Applied Mathematics I, University of Seville, Spain
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 29 August 2011
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Cited By
View all- Hou YPang GHao X(2018)Crowd Segmentation Using both Appearance and Stereo InformationJournal of Signal Processing Systems10.1007/s11265-017-1258-290:3(421-432)Online publication date: 1-Mar-2018