The evaluation of the gaussian mixture probability hypothesis density approach for multi-target tracking

2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings

Volumn , Issue , 2010, Pages 182-185

  Chen, Jiandan ^a   Adebomi, Oyekanlu Emmanuel ^a   Olusayo, Onidare Samuel ^a   Kulesza, Wlodek ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Human tracking; Performance evaluation; Probability hypothesis density; Vision system

Indexed keywords

CIRCULAR MOTION; EVALUATION FACTOR; FILTER PERFORMANCE; FILTER TRACKING; GAUSSIAN MIXTURE PROBABILITY HYPOTHESIS DENSITY; GROUND TRUTH; HUMAN MOVEMENTS; HUMAN TRACKING; INTELLIGENT VISION SYSTEMS; MEAN ABSOLUTE ERROR; MULTI-TARGET TRACKING; MULTIPLE-HUMAN TRACKING; PERFORMANCE EVALUATION; PHD FILTERS; PROBABILITY HYPOTHESIS DENSITY; RANDOM MOTIONS; SIMPLIFIED ANALYSIS; TARGET MOVEMENTS; VISION SYSTEM;

ANGULAR VELOCITY; COMPUTER VISION; IMAGING SYSTEMS; PROBABILITY;

TARGET TRACKING;

EID: 77957834962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IST.2010.5548541     Document Type: Conference Paper

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