Authors:
Muhammad Fraz
;
Iffat Zafar
and
Eran Edirisinghe
Affiliation:
Loughborough University, United Kingdom
Keyword(s):
CCTV Videos, Colour Extraction, Video Indexing, Video Annotation.
Related
Ontology
Subjects/Areas/Topics:
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Motion, Tracking and Stereo Vision
;
Video Surveillance and Event Detection
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.
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