Multiple interacting subcellular structure tracking by sequential Monte Carlo method

Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007

Volumn , Issue , 2007, Pages 437-442

  Wen, Quan ^a   Gao, Jean ^a   Luby Phelps, Kate ^b  

^a The University of Texas at Arlington   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCOMMUNICATIONS; BIOINFORMATICS; COMPUTER AIDED ANALYSIS; INFORMATION SCIENCE; MANAGEMENT SCIENCE; MARKOV PROCESSES; MATHEMATICAL MODELS; SEQUENTIAL SWITCHING; THREE DIMENSIONAL;

3-D SPACE; GREEN FLUORESCENT PROTEIN; IMAGE SEQUENCING; INTERNATIONAL CONFERENCES; LIVE CELLS; MARKOV-CHAIN MONTE-CARLO; OBJECT TRACKING; RESIDUAL IMAGES; REVERSIBLE JUMPS; SEQUENTIAL MONTE CARLO; SEQUENTIAL MONTE CARLO METHOD; SUBCELLULAR STRUCTURES;

MONTE CARLO METHODS;

EID: 49049115527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2007.28     Document Type: Conference Paper

References (9)

1. V. Awasthi, K. W. Doolittle, G. Parulkar, and J. G. McNally. Cell tracking using a distributed algorithm for 3-D image segmentation. Bioimaging, 2(2):98-112, 1994.
2. E. R. Dougherty and R. A. Lotufo. Hands-on Morphological Image Processing. SPIE Press, 2003.
3. A. Dufour, V. Shinin, S. Tajbakhsh, N. Guillen-Aghion, J.-C. Olivo-Marin, and C. Zimmer. Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces. IEEE Transactions on Image Processing, 14(9):1396-1410, Sept. 2005.
4. S. Gopinath, N. Thakoor, and J. Gao. A statistical approach for intensity loss compensation of confocal microscopy images. In Proceedings of International Conference on Image Processing, 2007.
5. P. J. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82(4):711-732, 1995.
6. Z. Khan, T. Balch, and F. Dellaet. MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE Transaction on Pattern Ananlysis and Machine Intelligence, 27(11):1805-1819, Nov. 2005.
7. K. Smith, D. Gatica-Perez, and J.-M. Odobez. Using particles to track varying number of interacting people. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 962-969, June 20-25 2005.
8. T. Zhao and R. Nevatia. Tracking multiple humans in crowded environment. In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 2, pages 406-413, June 27-July 2 2004.
9. C. Zimmer, E. Labruyere, V. Meas-Yedid, N. Guillen, and J.-C. Olivo-Marin. Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing. IEEE Transactions on Medical Imaging, 21(10):1212-1221, Oct. 2002.