Pedestrian detection and classification based on 2D and 3D information for driving assistance systems

ICCP 2007 Proceedings IEEE 3rd International Conference on Intelligent Computer Communication and Processing

Volumn , Issue , 2007, Pages 133-139

  Tomiuc, Comeliu ^a   Nedevschi, Sergiu ^a   Meinecke, Marc Michael ^b  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

^b Volkswagen A G ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

2-D IMAGES; 2-D MODELING; 3-D SHAPE; 3D DATA; 3D INFORMATION; A-DENSITY; CHAMFER DISTANCE; CLASSIFICATION SYSTEMS; DEPTH ESTIMATION; DRIVING ASSISTANCE SYSTEMS; EDGE EXTRACTIONS; EXTERNAL-; FILTERING PROCESSING; HIGH SPEEDS; INTELLIGENT COMPUTER; INTERNATIONAL CONFERENCES; NEW APPROACHES; PEDESTRIAN CLASSIFICATION; PEDESTRIAN DETECTION; REAL-WORLD SCENARIOS; SCALED MODELING; STEREO INFORMATION;

BEHAVIORAL RESEARCH; CLASSIFICATION (OF INFORMATION); FAULT DETECTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PATTERN MATCHING;

THREE DIMENSIONAL;

EID: 47749136993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2007.4352152     Document Type: Conference Paper

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