TY - GEN
T1 - A particle filter framework using optimal importance function for protein molecules tracking
AU - Wen, Q.
AU - Gao, J.
AU - Kosaka, A.
AU - Iwaki, H.
AU - Luby-Phelps, K.
AU - Mundy, D.
PY - 2005
Y1 - 2005
N2 - Tagging and tracking protein molecules are a key to a better understanding of proteomics in diverse aspects. In this paper, a common framework of particle filter using optimal importance function is proposed for confocal protein molecules tracking. To deal with the challenges stemming from small size, deformable shape, noisy environment, and multi-modality motion, a stochastic process based particle filter is used. Partial Gaussian State Space (PGSS) model is developed as the importance function to incorporate the latest measurement in the state estimation. Experimental results have demonstrated the performance of the proposed algorithm for both Brownian and translational motion.
AB - Tagging and tracking protein molecules are a key to a better understanding of proteomics in diverse aspects. In this paper, a common framework of particle filter using optimal importance function is proposed for confocal protein molecules tracking. To deal with the challenges stemming from small size, deformable shape, noisy environment, and multi-modality motion, a stochastic process based particle filter is used. Partial Gaussian State Space (PGSS) model is developed as the importance function to incorporate the latest measurement in the state estimation. Experimental results have demonstrated the performance of the proposed algorithm for both Brownian and translational motion.
UR - http://www.scopus.com/inward/record.url?scp=33749607779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749607779&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2005.1529962
DO - 10.1109/ICIP.2005.1529962
M3 - Conference contribution
AN - SCOPUS:33749607779
SN - 0780391349
SN - 9780780391345
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1161
EP - 1164
BT - IEEE International Conference on Image Processing 2005, ICIP 2005
T2 - IEEE International Conference on Image Processing 2005, ICIP 2005
Y2 - 11 September 2005 through 14 September 2005
ER -