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Performance Analysis for Gait in Camera Networks

Goffredo, Michela, Bouchrika, Imed, Carter, John and Nixon, Mark (2008) Performance Analysis for Gait in Camera Networks At ACM Workshop on Analysis and Retrieval of Events, Actions, and Workflows in Video Streams, Canada.

Record type: Conference or Workshop Item (Paper)


This paper deploys gait analysis for subject identification in multi-camera surveillance scenarios. We present a new method for viewpoint independent markerless gait analysis that does not require camera calibration and works with a wide range of directions of walking. These properties make the proposed method particularly suitable for gait identification in real surveillance scenarios where people and their behaviour need to be tracked across a set of cameras. Tests on 300 synthetic and real video sequences, with subjects walking freely along different walking directions, have been performed. Since the choice of the cameras' characteristics is a key-point for the development of a smart surveillance system, the performance of the proposed approach is measured with respect to different video properties: spatial resolution, frame-rate, data compression and image quality. The obtained results show that markerless gait analysis can be achieved without any knowledge of camera's position and subject's pose. The extracted gait parameters allow recognition of people walking from different views with a mean recognition rate of 92.2% and confirm that gait can be effectively used for subjects' identification in a multi-camera surveillance scenario.

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Accepted/In Press date: 2008
Venue - Dates: ACM Workshop on Analysis and Retrieval of Events, Actions, and Workflows in Video Streams, Canada, 2008-01-01
Organisations: Southampton Wireless Group


Local EPrints ID: 267033
PURE UUID: 1282bc0a-9005-40d1-9aad-eb0d22a444ad

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Date deposited: 15 Jan 2009 11:20
Last modified: 18 Jul 2017 07:09

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Author: Michela Goffredo
Author: Imed Bouchrika
Author: John Carter
Author: Mark Nixon

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