Learning a multiview part-based model in virtual world for pedestrian detection

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2013, Pages 467-472

  Xu, Jiaolong ^a   Vazquez, David ^a   Lopez, Antonio M ^a   Marin, Javier ^a   Ponsa, Daniel ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATICALLY GENERATED; DEFORMABLE PART-BASED MODELS; EVALUATION FRAMEWORK; HUMAN DETECTION; PART-BASED MODELS; PEDESTRIAN DETECTION; SEARCHING SPACES; TOP-DOWN APPROACH;

DEFORMATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; VIRTUAL REALITY;

DETECTORS;

EID: 84892402030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2013.6629512     Document Type: Conference Paper

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