Add to ORKGIn order to track and estimate the pose of rigid objects with high accuracy in unconstrained environment, we propose a framework that combines 3D particle filter with algebraic pose optimization in a closed loop. The contributions include: 1. A new Particle Filter observation model based on line similarity in 3D space; 2. Coupled tracking and algebraic pose optimization in Particle Filter framework; 3. A dynamic ROI is developed which reduces the line detection and search space for real-time application
International audienceThis paper presents a real-time circular targets tracking approach for camera ...
In this paper we present an approach to use prior knowledge in the particle filter framework for 3D ...
Abstract We present a nonlinear state estimation approach using particle filters, for tracking objec...
In order to track and estimate the pose of known rigid objects with high accuracy in unconstrained e...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis paper presents a robust line tracking approach for camera pose estimation...
International audienceIn this paper, we present a new solution for the problem of tracking the 3D po...
Abstract. Due to its great ability of conquering clutters, which is es-pecially useful for high-dime...
The algorithm proposed in this paper is designed to solve two challenging issues in visual tracking:...
Tracking an object's 3D position and orientation from a color image can been accomplished with ...
We propose an algorithm, which tracks a deformable object in complex scene based on Bayesian estimat...
This paper addresses the issue of tracking a single visual object through crowded scenarios, where a...
ABSTRACT. A new model for tracking of feature points in dynamic image is proposed. The model is repr...
Estimating and tracking the pose (position and orientation) of the camera relative to an object is a...
Local optimization and filtering have been widely applied to model-based 3D human motion capture. Gl...
International audienceThis paper presents a real-time circular targets tracking approach for camera ...
In this paper we present an approach to use prior knowledge in the particle filter framework for 3D ...
Abstract We present a nonlinear state estimation approach using particle filters, for tracking objec...
In order to track and estimate the pose of known rigid objects with high accuracy in unconstrained e...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis paper presents a robust line tracking approach for camera pose estimation...
International audienceIn this paper, we present a new solution for the problem of tracking the 3D po...
Abstract. Due to its great ability of conquering clutters, which is es-pecially useful for high-dime...
The algorithm proposed in this paper is designed to solve two challenging issues in visual tracking:...
Tracking an object's 3D position and orientation from a color image can been accomplished with ...
We propose an algorithm, which tracks a deformable object in complex scene based on Bayesian estimat...
This paper addresses the issue of tracking a single visual object through crowded scenarios, where a...
ABSTRACT. A new model for tracking of feature points in dynamic image is proposed. The model is repr...
Estimating and tracking the pose (position and orientation) of the camera relative to an object is a...
Local optimization and filtering have been widely applied to model-based 3D human motion capture. Gl...
International audienceThis paper presents a real-time circular targets tracking approach for camera ...
In this paper we present an approach to use prior knowledge in the particle filter framework for 3D ...
Abstract We present a nonlinear state estimation approach using particle filters, for tracking objec...