Gait-Based Pedestrian Detection for Automated Surveillance
Gait-Based Pedestrian Detection for Automated Surveillance
In this paper, we explore a new approach for walking pedestrian detection in an unconstrained outdoor environment. The proposed algorithm is based on gait motion as the rhythm of the footprint pattern of walking people is considered the stable and characteristic feature for the classification of moving objects. The novelty of our approach is motivated by the latest research for people identification using gait. The experimental results confirmed the robustness of our method to discriminate between single walking subject, groups of people and vehicles with a detection rate of %100. Furthermore, the results revealed the potential of our method to extend visual surveillance systems to recognize walking people.
Visual surveillance, motion analysis, people tracking, gait.
BOUCHRIKA, I
b294dfd3-6686-49b1-af2f-0ed0ebc3c5f5
NIXON, M S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
March 2007
BOUCHRIKA, I
b294dfd3-6686-49b1-af2f-0ed0ebc3c5f5
NIXON, M S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
BOUCHRIKA, I and NIXON, M S
(2007)
Gait-Based Pedestrian Detection for Automated Surveillance.
International Conference on Computer Vision Systems, Bielfeld, Germany.
Record type:
Conference or Workshop Item
(Poster)
Abstract
In this paper, we explore a new approach for walking pedestrian detection in an unconstrained outdoor environment. The proposed algorithm is based on gait motion as the rhythm of the footprint pattern of walking people is considered the stable and characteristic feature for the classification of moving objects. The novelty of our approach is motivated by the latest research for people identification using gait. The experimental results confirmed the robustness of our method to discriminate between single walking subject, groups of people and vehicles with a detection rate of %100. Furthermore, the results revealed the potential of our method to extend visual surveillance systems to recognize walking people.
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ICVS2007-52.pdf
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Published date: March 2007
Additional Information:
Event Dates: March, 2007
Venue - Dates:
International Conference on Computer Vision Systems, Bielfeld, Germany, 2007-03-01
Keywords:
Visual surveillance, motion analysis, people tracking, gait.
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 263955
URI: http://eprints.soton.ac.uk/id/eprint/263955
PURE UUID: d3b3f7f4-9c5a-40dd-b323-f811739447ff
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Date deposited: 01 May 2007
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
I BOUCHRIKA
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