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Gait-Based Pedestrian Detection for Automated Surveillance

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
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, 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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More information

Published date: March 2007
Additional Information: Event Dates: March, 2007
Venue - Dates: International Conference on Computer Vision Systems, Germany, 2007-03-01
Keywords: Visual surveillance, motion analysis, people tracking, gait.
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263955
URI: https://eprints.soton.ac.uk/id/eprint/263955
PURE UUID: d3b3f7f4-9c5a-40dd-b323-f811739447ff
ORCID for M S NIXON: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 01 May 2007
Last modified: 06 Jun 2018 13:17

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