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ICIP
2000
IEEE
16 years 22 days ago
Object Tracking by Adaptive Modeling
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
Andrei Rares, Marcel J. T. Reinders
ICIP
2009
IEEE
16 years 6 days ago
Tongue Tracking In Ultrasound Images With Active Appearance Models
Tongue Ultrasound imaging is widely used for human speech production analysis and modeling. In this paper, we propose a novel method to automatically detect and track the tongue c...
ICPR
2006
IEEE
15 years 5 months ago
Real Time Limb Tracking with Adaptive Model Selection
We describe an efficient and robust method of tracking human forearms as skin colored regions. Of special consideration in the design of this system are real-time and robustness ...
Matheen Siddiqui, Gérard G. Medioni
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ICIP
2006
IEEE
16 years 24 days ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
ICIP
2004
IEEE
16 years 23 days ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa