Adaptive multicue background subtraction for robust vehicle counting and classification

IEEE Transactions on Intelligent Transportation Systems

Volumn 13, Issue 2, 2012, Pages 527-540

  Unzueta, Luis ^a   Nieto, Marcos ^a   Cortés, Andoni ^a   Barandiaran, Javier ^a   Otaegui, Oihana ^a   Sánchez, Pedro ^b  

^a VICOMTECH   (Spain)

^b IKUSI Angel Iglesias   (Spain)

Author keywords

3 D reconstruction; Computer vision; tracking; traffic image analysis; traffic information systems

Indexed keywords

3D RECONSTRUCTION; BACKGROUND SUBTRACTION; CURRENT FRAME; DISPARITY MAP; INDUCTIVE LOOP DETECTORS; MARKOV CHAIN MONTE CARLO METHOD; NOISY IMAGE; RAINY DAYS; REAL TIME; ROBUST ADAPTIVE; STANDARD CAMERAS; TRACKING AND CLASSIFICATION; TRAFFIC FLOW; TRAFFIC IMAGES; TRAFFIC INFORMATION SYSTEMS; TRAFFIC JAMS; VEHICLE COUNTING; VISION-BASED SYSTEM; VOLUME ESTIMATIONS;

COMPUTER VISION; EMERGENCY TRAFFIC CONTROL; HEADLIGHTS; IMAGE SEGMENTATION; ROADS AND STREETS; SURFACE DISCHARGES; TRAFFIC CONGESTION; UNCERTAIN SYSTEMS; VEHICLES;

THREE DIMENSIONAL;

EID: 84861880898     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2011.2174358     Document Type: Article

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