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International Conference on Pattern Recognition

International Conference on Pattern Recognition
International Conference on Pattern Recognition
In this paper, we explore a new approach for enriching
the HoG method for pedestrian detection in an
unconstrained outdoor environment. The proposed algorithm
is based on using gait motion since the rhythmic
footprint pattern for walking people is considered
the stable and characteristic feature for the detection of
walking people. 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 enhance HoG to detect walking
people as well as 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 be used in visual surveillance systems for identity tracking over different camera
views.
3097-3100
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Mörzinger, Rudolf
bdee5ed9-7ea3-489e-af27-4a43932a88e5
Thallinger, George
ef71bac4-36af-4b7b-a624-2f87fb79b99b
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Mörzinger, Rudolf
bdee5ed9-7ea3-489e-af27-4a43932a88e5
Thallinger, George
ef71bac4-36af-4b7b-a624-2f87fb79b99b

Bouchrika, Imed, Carter, John N., Nixon, Mark S., Mörzinger, Rudolf and Thallinger, George (2010) International Conference on Pattern Recognition. International Conference on Pattern Recognition, Turkey. pp. 3097-3100 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we explore a new approach for enriching
the HoG method for pedestrian detection in an
unconstrained outdoor environment. The proposed algorithm
is based on using gait motion since the rhythmic
footprint pattern for walking people is considered
the stable and characteristic feature for the detection of
walking people. 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 enhance HoG to detect walking
people as well as 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 be used in visual surveillance systems for identity tracking over different camera
views.

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05597287.pdf - Accepted Manuscript
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More information

Published date: 2010
Venue - Dates: International Conference on Pattern Recognition, Turkey, 2010-01-01
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 359526
URI: http://eprints.soton.ac.uk/id/eprint/359526
PURE UUID: fa5be65a-1d58-43ec-b014-82d66d4339d7
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 01 Nov 2013 17:36
Last modified: 06 Jun 2018 13:18

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