A novel color-context descriptor and its applications

Authors:
Chia-Te Liao;Yu-Lin Wang;Shang-Hong Lai;Chiou-Ting Hsu
Affiliations:
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan;National Cheng Kung University, Tainan, Taiwan;Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan;Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

This paper presents a new descriptor for object categorization and pedestrian identification applications. One of the main drawbacks of shape-context descriptor is its vulnerability and distinctness to color images. We propose a spherical descriptor that simultaneously adopts the spatial and color information as a discriminative representation. Based on the descriptor, this paper also contributes a bag-of-features framework to pedestrian identification for video surveillance. In contrast to the previous works, the proposed scheme does not require background subtraction stage. Thus the potential problems, such as the susceptibility to shadows and highlights from the background subtraction procedure, are avoided. Experiments validate the discriminant power of the proposed descriptor in object categorization on COIL- 100 database and pedestrian identification in surveillance videos.