The Unscented Kalman filter for pedestrian tracking from a moving host

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 37-42

  Meuter, Mirko ^a   Iurgel, Uri ^b   Park, Su Birm ^b   Kummert, Anton ^a  

^a UNIVERSITY OF WUPPERTAL   (Germany)

^b Delphi Electronics and Safety Advanced Engineering   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; CONTROL THEORY; IMAGE PROCESSING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KALMAN FILTERS; NONLINEAR FILTERING; PEDESTRIAN SAFETY; TARGETS;

BASIC IDEAS; CAR USING; DETECTED OBJECTS; DETECTION PROCESSES; EFFICIENT ESTIMATIONS; EGO MOTIONS; EXTRINSIC CAMERA PARAMETERS; IMAGE PLANES; MEASUREMENT MODELS; MONOCULAR CAMERAS; MOTION MODELS; PEDESTRIAN TRACKING; PERSPECTIVE PROJECTIONS; PRIOR INFORMATIONS; PROCESSING SYSTEMS; REAL TIMES; SENSOR INFORMATIONS; SINGLE FRAMES; TARGET MOVEMENTS; TRACKING MODULES; UNSCENTED KALMAN FILTERS;

TRACKING (POSITION);

EID: 57749210167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621191     Document Type: Conference Paper

References (10)

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