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» Tracking Periodic Motion using Bayesian Estimation
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ADHOCNOW
2005
Springer
15 years 3 months ago
Location Tracking in Mobile Ad Hoc Networks Using Particle Filters
Mobile ad hoc networks (MANET) are dynamic networks formed on-the-fly as mobile nodes move in and out of each others’ transmission ranges. In general, the mobile ad hoc networki...
Rui Huang, Gergely V. Záruba
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
15 years 4 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
ICPR
2008
IEEE
15 years 4 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
ACCV
1998
Springer
15 years 2 months ago
Motion Compensated Color Video Classification Using Markov Random Fields
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
Zoltan Kato, Ting-Chuen Pong, John Chung-Mong Lee
ICIAR
2007
Springer
15 years 3 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