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 actions 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. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.
CITATION STYLE
Cao, H., Yamaguchi, K., Ohta, M., Naito, T., & Ninomiya, Y. (2010). Feature interaction descriptor for pedestrian detection. IEICE Transactions on Information and Systems, E93-D(9), 2656–2659. https://doi.org/10.1587/transinf.E93.D.2656
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