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» Object Tracking by Adaptive Modeling
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CVPR
2007
IEEE
14 years 10 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
ICPR
2008
IEEE
14 years 3 months ago
On edge structure based adaptive observation model for facial feature tracking
Facial feature tracking is a crucial and challenging task in computer vision. Recently online-learning methods have become increasingly popular on account of their strong ability ...
Xiaoyan Wang, Yangsheng Wang, Xuetao Feng, Mingcai...
IAT
2006
IEEE
14 years 2 months ago
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
One promising application of sensor networks is object tracking. Because the movements of the tracked objects usually show repeating patterns, we propose a heterogeneous tracking ...
Chih-Chieh Hung, Wen-Chih Peng
AVSS
2006
IEEE
14 years 2 months ago
A Multi-Class Tracker Using a Scalable Condensation Filter
Tracking systems are typically targeted towards tracking a single class of object. In many real world situations, and in the ETISEO evaluation, it is advantageous to be able to tr...
Simon Denman, Vinod Chandran, Sridha Sridharan, Cl...
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
14 years 2 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...