Article

Multi-Camera Color Tracking

Authors:

J. Orwell,

P. Remagnino,

G. A. JonesAuthors Info & Claims

VS '99: Proceedings of the Second IEEE Workshop on Visual Surveillance

Page 14

Published: 26 June 1999 Publication History

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Abstract

We propose a novel colour tracker for use in visual surveillance. The tracker is part of a framework designed to monitor a dynamic scene with more than one camera. Colour tracking complements spatial tracking: it can also be used over large temporal intervals, and between spatially uncalibrated cameras. The colour distributions from objects are modelled, and measures of difference there between are discussed. A context is required for assessing the significance of any difference. It is provided by an analysis of the noise processes: first on the camera capture, then on the underlying variability of the signal. We present results comparing parametric and explicit representations, the inclusion and omission of intensity data, and single and multiple cameras.

Cited By

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Susarla PAgrawal UJayagopi D(2018)Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNNProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180080(101-107)Online publication date: 27-Mar-2018
https://dl.acm.org/doi/10.1145/3177148.3180080
Natarajan PAtrey PKankanhalli M(2015)Multi-Camera Coordination and Control in Surveillance SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/271012811:4(1-30)Online publication date: 2-Jun-2015
https://dl.acm.org/doi/10.1145/2710128
Vezzani RBaltieri DCucchiara R(2013)People reidentification in surveillance and forensicsACM Computing Surveys10.1145/2543581.254359646:2(1-37)Online publication date: 27-Dec-2013
https://dl.acm.org/doi/10.1145/2543581.2543596
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Multi-Camera Color Tracking
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks

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VS '99: Proceedings of the Second IEEE Workshop on Visual Surveillance

June 1999

ISBN:0769500374

Publisher

IEEE Computer Society

United States

Publication History

Published: 26 June 1999

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Susarla PAgrawal UJayagopi D(2018)Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNNProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180080(101-107)Online publication date: 27-Mar-2018
https://dl.acm.org/doi/10.1145/3177148.3180080
Natarajan PAtrey PKankanhalli M(2015)Multi-Camera Coordination and Control in Surveillance SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/271012811:4(1-30)Online publication date: 2-Jun-2015
https://dl.acm.org/doi/10.1145/2710128
Vezzani RBaltieri DCucchiara R(2013)People reidentification in surveillance and forensicsACM Computing Surveys10.1145/2543581.254359646:2(1-37)Online publication date: 27-Dec-2013
https://dl.acm.org/doi/10.1145/2543581.2543596
Gómez-Romero JPatricio MGarcía JMolina J(2011)Ontology-based context representation and reasoning for object tracking and scene interpretation in videoExpert Systems with Applications: An International Journal10.1016/j.eswa.2010.12.11838:6(7494-7510)Online publication date: 1-Jun-2011
https://dl.acm.org/doi/10.1016/j.eswa.2010.12.118
Mörzinger RThaler MWolf MForesti GBischof H(2010)Establishing correspondence in distributed cameras by observing humansProceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras10.1145/1865987.1865989(2-7)Online publication date: 31-Aug-2010
https://dl.acm.org/doi/10.1145/1865987.1865989
Patricio MCarbó JPérez OGarcía JMolina J(2007)Multi-agent framework in visual sensor networksEURASIP Journal on Advances in Signal Processing10.1155/2007/986392007:1(226-226)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.1155/2007/98639
Jo YHan JAggarwal JCucchiara RPrati A(2006)A new approach to camera hand-off without camera calibration for the general scene with non-planar groundProceedings of the 4th ACM international workshop on Video surveillance and sensor networks10.1145/1178782.1178811(195-202)Online publication date: 27-Oct-2006
https://dl.acm.org/doi/10.1145/1178782.1178811
Hu WHu MZhou XTan TLou JMaybank S(2006)Principal Axis-Based Correspondence between Multiple Cameras for People TrackingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2006.8028:4(663-671)Online publication date: 1-Apr-2006
https://dl.acm.org/doi/10.1109/TPAMI.2006.80
Kang JCohen IMedioni GChang EWang Y(2003)Multi-views tracking within and across uncalibrated camera streamsFirst ACM SIGMM international workshop on Video surveillance10.1145/982452.982456(21-33)Online publication date: 2-Nov-2003
https://dl.acm.org/doi/10.1145/982452.982456
Mittal ADavis L(2003)M2TrackerInternational Journal of Computer Vision10.1023/A:102184980176451:3(189-203)Online publication date: 27-Feb-2003
https://dl.acm.org/doi/10.1023/A%3A1021849801764

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Automated multi-camera planar tracking correspondence modeling

Hand-Eye Camera Calibration with an Optical Tracking System

Image-based pan-tilt camera control in a multi-camera surveillance environment

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