TY  - JOUR
T1  - Multi-object trajectory tracking
JF  - Mach. Vision Appl.
Y1  - 2007
A1  - Han, Mei
A1  - Xu, W.
A1  - Tao, H.
A1  - Gong, Y.
PB  - Springer-Verlag New York, Inc.
CY  - Secaucus, NJ, USA
VL  - 18
ER  - 

TY  - CONF
T1  - A Conditional Random Field Model for Video Super-resolution
T2  - ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition
Y1  - 2006
A1  - Kong, D.
A1  - Han, Mei
A1  - Xu, W.
A1  - Tao, H.
A1  - Gong, Y.
JF  - ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition
PB  - IEEE Computer Society
CY  - Washington, DC, USA
SN  - 0-7695-2521-0
ER  - 

TY  - CONF
T1  - Video Super-resolution with Scene-specific Priors
T2  - BMVC06
Y1  - 2006
A1  - Kong, D.
A1  - Han, Mei
A1  - Xu, W.
A1  - Tao, H.
A1  - Gong, Y.
JF  - BMVC06
ER  - 

TY  - CONF
T1  - An algorithm for multiple object trajectory tracking
T2  - IEEE CVPR 2004
Y1  - 2004
A1  - Han, Mei
A1  - Xu, W.
A1  - Tao, H.
A1  - Gong, Y.
KW  - MAP solution
KW  - hidden Markov models
KW  - joint state observation probability
KW  - likelihood computation
KW  - maximum a posteriori solution
KW  - maximum likelihood sequence estimation
KW  - multiobject configuration
KW  - multiple object trajectory tracking
KW  - object detection
KW  - object detection map
KW  - object state estimation
KW  - observation model
KW  - optimal state sequence estimation
KW  - pixel wise object detection scores
KW  - probabilistic framework
KW  - probability
KW  - state estimation
KW  - temporal distractions
KW  - tracking Hidden Markov model
JF  - IEEE CVPR 2004
VL  - 1
ER  -