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107
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IBPRIA
2007
Springer
15 years 6 months ago
Robust Multiple-People Tracking Using Colour-Based Particle Filters
Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appe...
Daniel Rowe, Ivan Huerta Casado, Jordi Gonzà...
ICIAR
2007
Springer
15 years 6 months ago
Real-Time Vehicle Ego-Motion Using Stereo Pairs and Particle Filters
This paper presents a direct and stochastic technique for real time estimation of on board camera position and orientation—the ego-motion problem. An on board stereo vision syste...
Fadi Dornaika, Angel Domingo Sappa
99
Voted
CVPR
2006
IEEE
15 years 6 months ago
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking
This paper presents the first systematic empirical study of the particle filter (PF) algorithms for human figure tracking in video. Our analysis and evaluation follows a modula...
Ping Wang, James M. Rehg
ICIAP
2005
ACM
15 years 6 months ago
Robust Particle Filtering for Object Tracking
Abstract. This paper addresses the filtering problem when no assumption about linearity or gaussianity is made on the involved density functions. This approach, widely known as pa...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, J...
126
Voted
HYBRID
2003
Springer
15 years 5 months ago
Estimation of Distributed Hybrid Systems Using Particle Filtering Methods
Abstract. Networked embedded systems are composed of a large number of components that interact with the physical world via a set of sensors and actuators, have their own computati...
Xenofon D. Koutsoukos, James Kurien, Feng Zhao