TY - GEN
T1 - Optimized particles for 3-D tracking
AU - Chen, Huiying
AU - Li, Youfu
PY - 2010
Y1 - 2010
N2 - 3-D visual tracking is useful for many of its applications. In this paper, we propose two different ways for different system configurations to optimize particle filter for enhancing 3-D tracking performances. On one hand, a new data fusion method is proposed to obtain the optimal importance density function for active vision systems. On the other hand, we develop a method for reconfigurable vision systems to maximize the effective sampling size in particle filter, which consequentially helps to solve the degeneracy problem and minimize the tracking error. © 2010 Springer-Verlag.
AB - 3-D visual tracking is useful for many of its applications. In this paper, we propose two different ways for different system configurations to optimize particle filter for enhancing 3-D tracking performances. On one hand, a new data fusion method is proposed to obtain the optimal importance density function for active vision systems. On the other hand, we develop a method for reconfigurable vision systems to maximize the effective sampling size in particle filter, which consequentially helps to solve the degeneracy problem and minimize the tracking error. © 2010 Springer-Verlag.
KW - 3-D tracking
KW - effective sampling size
KW - importance density function
KW - particle filter
UR - http://www.scopus.com/inward/record.url?scp=78650489829&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78650489829&origin=recordpage
U2 - 10.1007/978-3-642-16584-9_71
DO - 10.1007/978-3-642-16584-9_71
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 3642165834
SN - 9783642165832
VL - 6424 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 749
EP - 761
BT - Intelligent Robotics and Applications
PB - Springer Verlag
T2 - 3rd International Conference on Intelligent Robotics and Applications, ICIRA 2010
Y2 - 10 November 2010 through 12 November 2010
ER -