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ICPR
2002
IEEE
16 years 7 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
DCC
2008
IEEE
16 years 6 months ago
Filter Banks for Prediction-Compensated Multiple Description Coding
This paper investigates the design and application of the optimal filter banks for a predictioncompensated multiple description coding (PC-MDC) scheme, where the coefficients in e...
Jing Wang, Jie Liang
CVPR
2010
IEEE
16 years 2 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
PREMI
2007
Springer
16 years 17 days ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
3DPVT
2006
IEEE
239views Visualization» more  3DPVT 2006»
16 years 15 days ago
Self-Calibration of Multiple Laser Planes for 3D Scene Reconstruction
Self-calibration is one of the most active issues concerning vision-based 3D measurements. However, in the case of the light sectioning method, there has been little research cond...
Ryo Furukawa, Hiroshi Kawasaki