Article

Pedestrian detection in uncontrolled environments using stereo and biometric information

Authors:

Noel E. O'Connor,

Alan F. SmeatonAuthors Info & Claims

VSSN '06: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks

Pages 161 - 170

https://doi.org/10.1145/1178782.1178807

Published: 27 October 2006 Publication History

Abstract

A method for pedestrian detection from challenging real world outdoor scenes is presented in this paper. This technique is able to extract multiple pedestrians, of varying orientations and appearances, from a scene even when faced with large and multiple occlusions. The technique is also robust to changing background lighting conditions and effects, such as shadows. The technique applies an enhanced method from which reliable disparity information can be obtained even from untextured homogeneous areas within a scene. This is used in conjunction with ground plane estimation and biometric information,to obtain reliable pedestrian regions. These regions are robust to erroneous areas of disparity data and also to severe pedestrian occlusion, which often occurs in unconstrained scenarios.

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Cited By

Hou YPang G(2011)Multi-cue-based crowd segmentation in stereo visionProceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I10.5555/2033460.2033476(93-101)Online publication date: 29-Aug-2011
https://dl.acm.org/doi/10.5555/2033460.2033476
Jalalian AChalup SOstwald M(2010)Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamicsThird International Workshop on Advanced Computational Intelligence10.1109/IWACI.2010.5585134(442-447)Online publication date: Aug-2010
https://doi.org/10.1109/IWACI.2010.5585134
Kelly PO'Connor NSmeaton A(2009)Robust pedestrian detection and tracking in crowded scenesImage and Vision Computing10.1016/j.imavis.2008.04.00627:10(1445-1458)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.1016/j.imavis.2008.04.006
Show More Cited By

Index Terms

Pedestrian detection in uncontrolled environments using stereo and biometric information
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
      2. Computer vision tasks
        Scene understanding

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Published In

cover image ACM Conferences

VSSN '06: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks

October 2006

230 pages

ISBN:1595934960

DOI:10.1145/1178782

General Chairs:
Jake K. Aggarwal
University of Texas
,
Rita Cucchiara
University of Modena and Reggio Emilia, Italy
,
Program Chair:
Andrea Prati
University of Modena and Reggio Emilia, Italy

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 27 October 2006

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MM06: The 14th ACM International Conference on Multimedia 2006

October 27, 2006

California, Santa Barbara, USA

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Cited By

Hou YPang G(2011)Multi-cue-based crowd segmentation in stereo visionProceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I10.5555/2033460.2033476(93-101)Online publication date: 29-Aug-2011
https://dl.acm.org/doi/10.5555/2033460.2033476
Jalalian AChalup SOstwald M(2010)Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamicsThird International Workshop on Advanced Computational Intelligence10.1109/IWACI.2010.5585134(442-447)Online publication date: Aug-2010
https://doi.org/10.1109/IWACI.2010.5585134
Kelly PO'Connor NSmeaton A(2009)Robust pedestrian detection and tracking in crowded scenesImage and Vision Computing10.1016/j.imavis.2008.04.00627:10(1445-1458)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.1016/j.imavis.2008.04.006
Kelly PO'Connor NSmeaton A(2008)A Framework for Evaluating Stereo-Based Pedestrian Detection TechniquesIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2008.92822818:8(1163-1167)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.1109/TCSVT.2008.928228
Borca-Muresan RNedevschi S(2008)Meta-classifier for pedestrian attitude recognition2008 4th International Conference on Intelligent Computer Communication and Processing10.1109/ICCP.2008.4648351(33-40)Online publication date: Aug-2008
https://doi.org/10.1109/ICCP.2008.4648351

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