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» Tracking Periodic Motion using Bayesian Estimation
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CVPR
2000
IEEE
15 years 11 months ago
Dynamic Layer Representation with Applications to Tracking
A dynamic layer representation is proposed in this paper for tracking moving objects. Previous work on layered representations has largely concentrated on two-/multiframe batch fo...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
15 years 1 months ago
Robust SSD tracking with incremental 3D structure estimation
While the geometric aspects of structure and motion estimation from uncalibrated images are well understood, and it has great promise in applications, it has not seen widespread u...
Adam Rachmielowski, Dana Cobzas, Martin Jäger...
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
15 years 4 months ago
Vision-based estimation of three-dimensional position and pose of multiple underwater vehicles
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
Sachit Butail, Derek A. Paley
ICASSP
2009
IEEE
15 years 4 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 4 months 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