Chika Matsushima

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This paper proposes Relational HOG (R-HOG) features for object detection, and binary selection by using a wild-card " * " with Real AdaBoost. HOG features are effective for object detection, but their focus on local regions makes them high-dimensional features. To reduce the memory required for the HOG features, this paper proposes a new feature , R-HOG,(More)
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