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Pedestrian detection in uncontrolled environments using stereo and biometric information

Kelly, Philip and O'Connor, Noel E. and Smeaton, Alan F. (2006) Pedestrian detection in uncontrolled environments using stereo and biometric information. In: VSSN 2006 - 4th International Workshop on Video Surveillance and Sensor Networks, 27 October 2006, Santa Barbara, CA, USA.

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Additional Information:Workshop held in conjunction with ACM Multimedia 2006
Uncontrolled Keywords:Pedestrian Detection; Homography; Stereo; Disparity; Biometric Data;
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Association for Computing Machinery
Official URL:
Copyright Information:© ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Funders:Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:405
Deposited On:02 Apr 2008 by DORAS Administrator. Last Modified 01 Feb 2017 13:57

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