Unified probabilistic framework for simultaneous detection and tracking of multiple objects with application to bio-image sequences

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 1349-1352

  Karthikeyan, S ^a   Delibaltov, Diana ^a   Gaur, Utkarsh ^a   Jiang, Mei ^b   Williams, David ^b   Manjunath, B S ^a  

^a University of California   (United States)

^b JULES STEIN EYE INSTITUTE   (United States)

Author keywords

Hungarian algorithm; Simultaneous Detections and Tracking

Indexed keywords

BRIGHT-FIELD MICROSCOPY; DETECTION AND TRACKING; DETECTION-BASED TRACKING; HUNGARIAN ALGORITHM; IMAGING NOISE; ITERATIVE ALGORITHM; MULTIPLE OBJECTS; OPTIMAL SETS; PROBABILISTIC APPROACHES; PROBABILISTIC FRAMEWORK; SIMULTANEOUS DETECTION; STATE OF THE ART; TIME-LAPSE IMAGE SEQUENCE;

ALGORITHMS; COMPUTER VISION; TRACKING (POSITION);

ITERATIVE METHODS;

EID: 84875872463     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467118     Document Type: Conference Paper

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