Vehicular traffic density estimation via statistical methods with automated state learning

2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings

Volumn , Issue , 2007, Pages 164-169

  Evan, Tan ^a   Jing, Chen ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER NETWORKS; DENSITY (SPECIFIC GRAVITY); FLOW OF SOLIDS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MIXTURES; NUMERICAL METHODS; SECURITY SYSTEMS; SET THEORY; SPEECH RECOGNITION; STATISTICAL METHODS; STREET TRAFFIC CONTROL;

APPLIED (CO); GAUSSIAN MIXTURE (GM); HIDDEN MARKOV MODELS (HMMS); HMM MODELS; LOW-LEVEL FEATURES; NOVE L APPROACH; PROPERTY (S); REGION -OF-INTEREST (ROI); TRAFFIC DENSITIES; TRAFFIC STATE; TRAFFIC VIDEOS; UNSUPERVISED CLUSTERING; VEHICULAR TRAFFIC;

TRAFFIC SIGNALS;

EID: 44849086477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2007.4425304     Document Type: Conference Paper

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