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Objects Classification for Mobile Robots Using Hierarchic Selective Search Method
MATEC Web of Conferences
Aiming at determining the category of an image captured from mobile robots for intelligent application, classification with the bag-of-words model is proved effectively in near-duplicate/planar images. When it comes to images from mobile robots with complex background, does it still work well? In this paper, based on the merging criterion improvement, a method named hierarchical selective search is proposed hierarchically extracting complementary features to form a combined anddoi:10.1051/matecconf/20166803001 fatcat:ijhmb5tpqnhcjfnhun4n4ygzam