Object Colour Extraction for CCTV Video Annotation

Muhammad Fraz, Iffat Zafar, Eran Edirisinghe

2013

Abstract

In this paper, we have addressed the problem of object colour extraction in CCTV videos and proposed a frame work for efficient extraction of object colours by minimizing the effect of variable illumination. CCTV videos are generally very low quality videos due to significant presence of factors like noise, variable illumination, colour of light source, poor contrast, camera calibration etc. The proposed frame work makes use of conventional Grey World (GW) Colour Constancy (CC) method to reduce the effect of variable illumination. We have proposed a novel technique for the enhancement of colour information in video frames. The framework improves the results of colour constancy system while maintaining the actual colour balance within the image. Colour extraction has been done by quantizing HSV space into bins along ‘Hue’, ‘Value’ and ‘Saturation’. A novel set of procedures has also been proposed to fine tune the extraction of white colour. Finally, temporal accumulation of results is performed to increase the accuracy of extraction. The proposed system achieves accuracy up to 93% when tested on a comprehensive CCTV test dataset.

References

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Paper Citation


in Harvard Style

Fraz M., Zafar I. and Edirisinghe E. (2013). Object Colour Extraction for CCTV Video Annotation . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 455-459. DOI: 10.5220/0004279404550459


in Bibtex Style

@conference{visapp13,
author={Muhammad Fraz and Iffat Zafar and Eran Edirisinghe},
title={Object Colour Extraction for CCTV Video Annotation},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={455-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004279404550459},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Object Colour Extraction for CCTV Video Annotation
SN - 978-989-8565-47-1
AU - Fraz M.
AU - Zafar I.
AU - Edirisinghe E.
PY - 2013
SP - 455
EP - 459
DO - 10.5220/0004279404550459