Paper Info
Title
Moving Objects Detection Method Based on Brightness Distortion and Chromaticity Distortion
Abstract
This paper addresses a new background subtraction algorithm for detecting moving objects from a static background scene. The algorithm is proposed on the basis of brightness distortion and chromaticity distortion in RGB color space. For a given video sequence, a background frame is first extracted. Statistical analysis of chromaticity value is used in background frame extraction. It can solve the problem of deleting moving traces of moving objects in the case of few frames and slow movement. Gaussian model is used to calculate the threshold of brightness distortion in object detection. It can solve the problem of manually setting the brightness distortions of different video sequences. Experimental results show that the method proposed in this paper can detect moving objects exactly and effectively. It has been used in intelligent video surveillance system and region of interest (ROI) based low-bitrate video coding system.
Year
DOI
Venue
2007
10.1109/TCE.2007.4341602
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
objects detection method,brightness distortion,background frame extraction,chromaticity distortion,intelligent video surveillance system,new background subtraction algorithm,low-bitrate video,different video sequence,background frame,static background scene,video sequence,rgb color space,color space,statistical analysis,background subtraction,region of interest,indexing terms
Background subtraction,Object detection,Computer vision,Computer science,RGB color space,Chromaticity,Artificial intelligence,Gaussian network model,Region of interest,Distortion,Brightness
Journal
Volume
Issue
ISSN
53
3
0098-3063
Citations 
PageRank 
References 
12
0.80
6
Authors
3
Name
Order
Citations
PageRank
Rui Zhang1927.65
Sizhu Zhang2120.80
Yu Song335652.74