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» Optimal Filters for Gradient-based Motion Estimation
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ECCV
1998
Springer
14 years 8 months ago
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques
Abstract. Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These a...
Bernd Jähne, Horst W. Haussecker, Hanno Schar...
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
IJCV
2010
261views more  IJCV 2010»
13 years 4 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
ICIP
2005
IEEE
14 years 8 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 19 days ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng