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Feature Interaction Descriptor for Pedestrian Detection Hui CAO Koichiro YAMAGUCHI Mitsuhiko OHTA Takashi NAITO Yoshiki NINOMIYA Publication IEICE TRANSACTIONS on Information and Systems Vol.E93-D No.9 pp.2656-2659 Publication Date: 2010/09/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E93.D.2656 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: pedestrian detection, feature interaction, HOG, co-occurrence, Full Text: PDF(319.1KB)>>
Summary: We propose a novel representation called Feature Interaction Descriptor (FIND) to capture high-level properties of object appearance by computing pairwise interactions of adjacent region-level features. In order to deal with pedestrian detection task, we employ localized oriented gradient histograms as region-level features and measure interactions between adjacent histogram elements with a suitable histogram-similarity function. The experimental results show that our descriptor improves upon HOG significantly and outperforms related high-level features such as GLAC and CoHOG. | ||||||||||
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