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» Tracking with Dynamic Hidden-State Shape Models
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ICCV
2009
IEEE
16 years 2 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
82
Voted
ICCV
2001
IEEE
15 years 11 months ago
Modelling Faces Dynamically across Views and Over Time
A comprehensive novel multi-view dynamic face model is presented in this paper to address two challenging problems in face recognition and facial analysis: modelling faces with la...
Yongmin Li, Shaogang Gong, Heather M. Liddell
MM
2004
ACM
277views Multimedia» more  MM 2004»
15 years 2 months ago
Avatar-mediated face tracking and lip reading for human computer interaction
Advanced human computer interaction requires automatic reading of human face in order to make the computer interact with human in the same way as human-to-human communication. We ...
Xiaozhou Wei, Lijun Yin, Zhiwei Zhu, Qiang Ji
ECCV
2002
Springer
15 years 11 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
ICASSP
2008
IEEE
15 years 3 months ago
Deformable trellis: open contour tracking in bio-image sequences
This paper presents an open contour tracking method that employs an arc-emission Hidden Markov Model (HMM). The algorithm encodes the shape information of the structure in a spati...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...