A Moving Object Detection Algorithm Based on Color Information

This paper designed a new algorithm of moving object detection for the aim of quick moving object detection and orientation, which used a pixel and its neighbors as an image vector to represent that pixel and modeled different chrominance component pixel as a mixture of Gaussians, and set up differe...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 48; no. 1; pp. 384 - 387
Main Authors: Fang, X H, Xiong, W, Hu, B J, Wang, L T
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.10.2006
Subjects:
Algorithms
Color
Image segmentation
Moving object recognition
Physics
Pixels
Spatial data
ISSN:1742-6596, 1742-6588, 1742-6596
Online Access:Get full text
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Summary:This paper designed a new algorithm of moving object detection for the aim of quick moving object detection and orientation, which used a pixel and its neighbors as an image vector to represent that pixel and modeled different chrominance component pixel as a mixture of Gaussians, and set up different mixture model of Gauss for different YUV chrominance components. In order to make full use of the spatial information, color segmentation and background model were combined. Simulation results show that the algorithm can detect intact moving objects even when the foreground has low contrast with background.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/48/1/072