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    A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes

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    Authors
    He, Xiaofu
    Yang, Zhiyong
    Tsien, Joe Z.
    Issue Date
    2011-05-25
    URI
    http://hdl.handle.net/10675.2/741
    
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    Abstract
    Humans can categorize objects in complex natural scenes within 100â 150 ms. This amazing ability of rapid categorization has motivated many computational models. Most of these models require extensive training to obtain a decision boundary in a very high dimensional (e.g., â ¼6,000 in a leading model) feature space and often categorize objects in natural scenes by categorizing the context that co-occurs with objects when objects do not occupy large portions of the scenes. It is thus unclear how humans achieve rapid scene categorization.
    Citation
    PLoS One. 2011 May 25; 6(5):e20002
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0020002
    Scopus Count
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    Brain & Behavior Discovery Institute: Faculty Research and Presentations

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