Finding suits in images of people

Authors:
Lei Huang;Tian Xia;Yongdong Zhang;Shouxun Lin
Affiliations:
Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Year:
2012

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Abstract

Clothing style is a salient feature for understanding images of people. To automatically identify the style of clothing that people wear is a challenging task. Suit as one of the clothing style is a key element in many important activities. In this paper, we propose a novel suits detection method. By analyzing the style of clothing, we propose the color features, shape features and statistical features for suits detection. Experiments with five popular classifiers have been conducted to demonstrate that the proposed features are effective and robust. Comparative experiments with Bag of Words (BoW) method demonstrate that the proposed features are superior to BoW which is a popular method for object detection. The proposed method has achieved promising performance over our dataset, which is a challenging web image set with various styles of clothing.