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» Robust Head Tracking Based on a Multi-State Particle Filter
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TSMC
2008
147views more  TSMC 2008»
13 years 6 months ago
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation
Recently, much work has been done in multiple ob-4 ject tracking on the one hand and on reference model adaptation5 for a single-object tracker on the other side. In this paper, we...
Franz Pernkopf
CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ICPR
2006
IEEE
14 years 8 months ago
Data Fusion for 3D Gestures Tracking using a Camera mounted on a Robot
This article describes a multiple feature data fusion applied to an auxiliary particle filter for markerless tracking of 3D two-arm gestures by using a single camera mounted on a ...
Paulo Menezes, Frédéric Lerasle, Jor...
AVSS
2006
IEEE
13 years 10 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
ACCV
2009
Springer
14 years 1 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...