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  1. First ACM SIGMM international workshop on Video surveillance (IWVS '03)
  2. Motion analysis of Omni-Directional video streams for a mobile sentry
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A convex penalty method for optical human motion tracking
Motion analysis of Omni-Directional video streams for a mobile sentry
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A master-slave system to acquire biometric imagery of humans at distance

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Motion analysis of Omni-Directional video streams for a mobile sentry

Content Provider ACM Digital Library
Author Gandhi, Tarak Trivedi, Mohan M.
Abstract A mobile platform mounted with Omni-Directional Vision Sensor (ODVS) can be used to monitor large areas and detect interesting events such as independently moving persons and vehicles. To avoid false alarms due to extraneous features, the image motion induced by the moving platform should be compensated. This paper describes a formulation of parametric ego-motion compensation for an ODVS. Omni images give 360 degrees view of surroundings but undergo considerable image distortion. To account for these distortions, the parametric planar motion model is integrated with the transformations into omni image space. Prior knowledge of approximate camera calibration and vehicle speed are integrated with the estimation process using Bayesian approach. Iterative, coarse to fine, gradient based estimation is used to correct the motion parameters for vibrations and other inaccuracies in prior knowledge. Experiments with camera mounted on a mobile platform demonstrate successful detection of moving persons and vehicles.
Starting Page 49
Ending Page 58
Page Count 10
File Format PDF
ISBN 158113780X
DOI 10.1145/982452.982459
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2003-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Intruder detection Surveillance Panoramic vision Dynamic vision Motion detection Mobile robots Optical flow
Content Type Text
Resource Type Article
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