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» Tracking Periodic Motion using Bayesian Estimation
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CVPR
2005
IEEE
15 years 11 months ago
Appearance-Guided Particle Filtering for Articulated Hand Tracking
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
ICPR
2010
IEEE
15 years 4 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb
ISBI
2007
IEEE
15 years 4 months ago
Harp Tracking Refinement Using Seeded Region Growing
Tagged magnetic resonance (MR) imaging makes it possible to image the motion of tissues such as the muscles found in the heart and tongue. The harmonic phase (HARP) method largely...
Xiaofeng Liu, Emi Murano, Maureen C. Stone, Jerry ...
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ACCV
2006
Springer
15 years 3 months ago
Online Updating Appearance Generative Mixture Model for Meanshift Tracking
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
Jilin Tu, Hai Tao, Thomas S. Huang
MANSCI
2010
83views more  MANSCI 2010»
14 years 4 months ago
The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period
We exploit the information in the options market to study the variations of return risk and market prices of different sources of risk during the rise and fall of the Nasdaq marke...
Gurdip Bakshi, Liuren Wu