An Extreme Learning Machine-based pedestrian detection method

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2013, Pages 1404-1409

  Yang, Kai ^a   Du, Eliza Y ^a   Delp, Edward J ^a   Jiang, Pingge ^a   Jiang, Feng ^a   Chen, Yaobin ^a   Sherony, Rini ^b   Takahashi, Hiroyuki ^c  

^a Indiana University Purdue University Indianapolis   (United States)

^b TOYOTA MOTOR CORPORATION   (Japan)

^c Toyota Motor Corporations ^*  (Japan)

Author keywords

Extreme Learning Machine (ELM); Multimodal HOG; Naturalistic Driving; Pedestrian Detection

Indexed keywords

EXTREME LEARNING MACHINE; FALSE POSITIVE; IN-CAR CAMERA SYSTEMS; MULTI-MODAL; NATURALISTIC DRIVING; PEDESTRIAN DETECTION; PROCESSING SPEED; RECOGNITION ACCURACY;

FEATURE EXTRACTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KNOWLEDGE ACQUISITION;

LEARNING SYSTEMS;

EID: 84892422149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2013.6629663     Document Type: Conference Paper

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