DETECTION AND TRACKING OF MULTIPLE MOVING OBJECTS IN VIDEO

Wei Huang, Jonathan Wu

Abstract

This paper presents a method for detecting and tracking multiple moving objects in both outdoor and indoor environments. The proposed method measures the change of a combined color-texture feature vector in each image block to detect moving objects. The texture feature is extracted from DCT frequency domain. An attributed relational graph (ARG) is used to represent each object, in which vertices are associated to an object’s sub-regions and edges represent spatial relations among the sub-regions. Object tracking and identification are accomplished by matching the input graph to the model graph. The notion of inexact graph matching enables us to track partially occluded objects. The experimental results prove the efficiency of the proposed method.

References

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Paper Citation


in Harvard Style

Huang W. and Wu J. (2007). DETECTION AND TRACKING OF MULTIPLE MOVING OBJECTS IN VIDEO . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 492-497. DOI: 10.5220/0002063404920497


in Bibtex Style

@conference{visapp07,
author={Wei Huang and Jonathan Wu},
title={DETECTION AND TRACKING OF MULTIPLE MOVING OBJECTS IN VIDEO},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={492-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002063404920497},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - DETECTION AND TRACKING OF MULTIPLE MOVING OBJECTS IN VIDEO
SN - 978-972-8865-74-0
AU - Huang W.
AU - Wu J.
PY - 2007
SP - 492
EP - 497
DO - 10.5220/0002063404920497