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ICIAP
2005
ACM
14 years 1 months ago
Robust Particle Filtering for Object Tracking
Abstract. This paper addresses the filtering problem when no assumption about linearity or gaussianity is made on the involved density functions. This approach, widely known as pa...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, J...
CVPR
2005
IEEE
14 years 1 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
DICTA
2008
13 years 9 months ago
Application of the Particle Filter to Tracking of Fish in Aquaculture Research
The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video record...
Tomasz Pinkiewicz, Ray Williams, John Purser
VIP
2003
13 years 9 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin
ICCV
2005
IEEE
14 years 9 months ago
Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter
The recognition of facial gestures and expressions in image sequences is an important and challenging problem. Most of the existing methods adopt the following paradigm. First, fa...
Fadi Dornaika, Franck Davoine