Scale Variant Vehicle Object Recognition by CNN Module of Multi-Pooling-PCA Process
Yuxiang Guo,
Itsuo Kumazawa,
Chuyo Kaku
Abstract:The moving vehicles present different scales in the image due to the perspective effect of different viewpoint distances. The premise of advanced driver assistance system (ADAS) system for safety surveillance and safe driving is early identification of vehicle targets in front of the ego vehicle. The recognition of the same vehicle at different scales requires feature learning with scale invariance. Unlike existing feature vector methods, the normalized PCA eigenvalues calculated from feature maps are used to … Show more
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