Presentation 2009-06-18
Segmentation and Object Recognition in Road Scenes Using Multi-scale Semantic Bag of Textons Method
Yousun KANG, Koichiro YAMAGUCHI, Takashi NAITO, Yoshiki NINOMIYA,
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Abstract(in English) While the bag of words models are popular and powerful method for generic object recognition, they completely discard the spatial layout and context information. This paper presents a novel method for segmentation and object recognition of road environment scenes using multi-scale semantic bag of textons method. The histogram of extracted texton is concatenated to regions of interest with multi-scale regular grids. This feature can learn automatically spatial layout and relative positions between object and object in a road scene. Experimental results show that the proposed method can effectively classify the texture-based objects of a road scene comparing the conventional bag of texton methods. In the future, the proposed system can combine with a scene understanding system for vehicle environment perception.
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Keyword(in English) bag of words / spatial layout / segmentation / object recognition / scene understanding / vehicle environment perception
Paper # PRMU2009-41
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Conference Information
Committee PRMU
Conference Date 2009/6/11(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Segmentation and Object Recognition in Road Scenes Using Multi-scale Semantic Bag of Textons Method
Sub Title (in English)
Keyword(1) bag of words
Keyword(2) spatial layout
Keyword(3) segmentation
Keyword(4) object recognition
Keyword(5) scene understanding
Keyword(6) vehicle environment perception
1st Author's Name Yousun KANG
1st Author's Affiliation TOYOTA CENTRAL R & D LABS., INC.()
2nd Author's Name Koichiro YAMAGUCHI
2nd Author's Affiliation TOYOTA CENTRAL R & D LABS., INC.
3rd Author's Name Takashi NAITO
3rd Author's Affiliation TOYOTA CENTRAL R & D LABS., INC.
4th Author's Name Yoshiki NINOMIYA
4th Author's Affiliation TOYOTA CENTRAL R & D LABS., INC.
Date 2009-06-18
Paper # PRMU2009-41
Volume (vol) vol.109
Number (no) 88
Page pp.pp.-
#Pages 6
Date of Issue