DocumentCode :
2666967
Title :
Motion detection using color structure-texture image decomposition
Author :
Bellamine, Insaf ; Tairi, Hamid
Author_Institution :
LIIAN Lab., Sidi Mohamed Ben Abdellah Univ., Fez, Morocco
fYear :
2015
fDate :
25-26 March 2015
Firstpage :
1
Lastpage :
8
Abstract :
Analyzing and interpreting video is a growing topic in computer vision and its applications. This paper mainly contributes to the Color Space-Time Interest Points (CSTIP) extraction and detection. We propose a new method for detection of moving objects. Two main steps compose the proposed method. First, we suggest applying the algorithm of the detection of Color Space-Time Interest Points (CSTIP) on both components of the Color Structure - Texture Image Decomposition which is based on a Partial Differential Equation (PDE): a color geometric structure component and a color texture component. A descriptor is associated to each of these points. In a second stage, we address the problem of grouping the points (CSTIP) into clusters. Experiments and comparison to other motion detection methods on challenging sequences show the performance of the proposed method and its utility for video analysis. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.
Keywords :
computer vision; image colour analysis; image texture; object detection; partial differential equations; video signal processing; CSTIP detection; CSTIP extraction; PDE; animation movies; color geometric structure component; color space-time interest point detection; color space-time interest point extraction; color structure-texture image decomposition; computer vision; moving object detection; partial differential equation; sport video; video analysis; Color; Detectors; Feature extraction; Gray-scale; Image color analysis; Image decomposition; Numerical models; Color Space-Time Interest Points (CSTIP); Color Structure-Texture Image Decomposition; Motion Detection; clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Computer Vision (ISCV), 2015
Conference_Location :
Fez
Print_ISBN :
978-1-4799-7510-5
Type :
conf
DOI :
10.1109/ISACV.2015.7105545
Filename :
7105545
Link To Document :
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