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» Performance evaluation for tracking algorithms using object ...
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155
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ISPAN
2009
IEEE
15 years 9 months ago
High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
Raúl Cabido, David Concha, Juan José...
127
Voted
ICCV
2009
IEEE
15 years 12 days ago
Non-rigid object localization and segmentation using eigenspace representation
This paper presents a novel non-rigid object localization and segmentation algorithm using an eigenspace representation. Previous approaches to eigenspace methods for object track...
Omar Arif, Patricio A. Vela
147
Voted
DGCI
2000
Springer
15 years 7 months ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
125
Voted
ICIP
2006
IEEE
16 years 4 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld
134
Voted
SCVMA
2004
Springer
15 years 8 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy