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Learning to Detect Vehicles by Clustering Appearance Patterns.
IEEE Trans. Intelligent Transportation Systems, no. 5 (2015)
This paper studies efficient means for dealing with intra-category diversity in object detection. Strategies for occlusion and orientation handling are explored by learning an ensemble of detection models from visual and geometrical clusters of object instances. An AdaBoost detection scheme is employed with pixel lookup features for fas...More
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