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» Tracking Objects Using Density Matching and Shape Priors
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CVPR
1999
IEEE
14 years 9 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
MICCAI
2004
Springer
14 years 8 months ago
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
14 years 2 months ago
Graph-based robust shape matching for robotic application
— Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address...
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, Seong...
CVPR
2011
IEEE
13 years 3 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
CVPR
2005
IEEE
14 years 1 months ago
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes
This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete ...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li