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CVPR
2005
IEEE
16 years 1 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
ICCV
2003
IEEE
16 years 1 months ago
A Caratheodory-Fejer Approach to Robust Multiframe Tracking
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
Octavia I. Camps, Hwasup Lim, Cecilia Mazzaro, Mar...
ICMCS
2007
IEEE
182views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Computer Vision on Multi-Core Processors: Articulated Body Tracking
The recent emergence of multi-core processors enables a new trend in the usage of computers. Computer vision applications, which require heavy computation and lots of bandwidth, u...
Trista Pei-chun Chen, Dmitry Budnikov, Christopher...
ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
15 years 5 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
ICAPR
2005
Springer
15 years 5 months ago
3D Action Modeling and Reconstruction for 2D Human Body Tracking
In this paper we present a technique for predicting the 2D human body joints and limbs position in monocular image sequences, and reconstructing its corresponding 3D postures using...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...