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Online Selection of Discriminative Features Using Bayes Error Rate for Visual Tracking
Feature Selection Bayes Error Rate Visual Tracking
2006/12/31
Online feature selection using Bayes error rate is proposed to address visual tracking problem, where the appearances of the tracked object and scene background change during tracking. Given likelihoo...
Improving Particle Filter with Support Vector Regression for Efficient Visual Tracking
Improving Particle Filter Vector Regression Efficient Visual Tracking
2005/12/31
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...
Error Resilience Video Coding in H.264 Encoder with Potential Distortion Tracking
Video Coding H.264 Encoder Potential Distortion Tracking
2004/12/31
In this paper, an efficient rate-distortion (RD) model for H.264 video encoder in packet loss environment is
presented. The encoder keeps tracking the potential error propagation on a block basis by ...
Facial Feature Tracking Combining Model-Based And Model-Free Method,
Facial Feature Model-Based Model-Free Method
2003/12/31
In this paper we propose a novel facial feature tracker,which integrates model-free and model-based method to
reliably track dense facial features with complex non-rigid motions in low quality video ...