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Feature Interaction Descriptor for Pedestrian Detection

Hui CAO, Koichiro YAMAGUCHI, Mitsuhiko OHTA, Takashi NAITO, Yoshiki NINOMIYA

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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.

Publication
IEICE TRANSACTIONS on Information Vol.E93-D No.9 pp.2656-2659
Publication Date
2010/09/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E93.D.2656
Type of Manuscript
LETTER
Category
Image Recognition, Computer Vision

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