Vision-based 3D bicycle tracking using deformable part model and interacting multiple model filter

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2011, Pages 4391-4398

  Cho, Hyunggi ^a   Rybski, Paul E ^a   Zhang, Wende ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDING BOX; DATA ASSOCIATION; DATA SETS; DETECTION METHODS; IMM ALGORITHMS; IMM FILTERS; INTERACTING MULTIPLE MODEL; INTERACTING MULTIPLE MODEL ALGORITHMS; MIXTURE MODEL; MONOCULAR VISION; MOTION MODELS; MULTIPLE VIEWPOINTS; NON-RIGID OBJECTS; PART-BASED REPRESENTATION; PARTICLE FILTER; RAO-BLACKWELLIZED PARTICLE FILTER; TRACKING METHOD; URBAN ENVIRONMENTS; VISION BASED;

ALGORITHMS; BICYCLES; COMPUTER VISION; EXTENDED KALMAN FILTERS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MONTE CARLO METHODS; ROBOTICS; SPORTING GOODS; THREE DIMENSIONAL;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84871676377     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2011.5980482     Document Type: Conference Paper

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