Tracking of Multiple objects Using 3D Scatter Plot Reconstructed by Linear Stereo Vision

Tracking of Multiple objects Using 3D Scatter Plot Reconstructed by Linear Stereo Vision

This paper presents a new method for tracking objects using stereo vision with linear cameras. Edge points extracted from the stereo linear images are first matched to reconstruct points that represent the objects in the scene. To detect the objects, a clustering process based on a spectral analysis is then applied to the reconstructed points. The obtained clusters are finally tracked throughou...

Objects Detection and Tracking Using Points Cloud Reconstructed from Linear Stereo Vision

Stereo Vision Tracking of Multiple Objects in Complex Indoor Environments

This paper presents a novel system capable of solving the problem of tracking multiple targets in a crowded, complex and dynamic indoor environment, like those typical of mobile robot applications. The proposed solution is based on a stereo vision set in the acquisition step and a probabilistic algorithm in the obstacles position estimation process. The system obtains 3D position and speed info...

Tracking multiple objects in 3D

In this paper a system for tracking multiple targets in 3D is described. The system is made up of two pan-and-tilt units that are attached to the extremities of a rotating arm. This configuration has several advantages and can deal with several specific instances of tracking more than one target. A control strategy that guarantees equal target disparities in both images whenever targets are see...

Efficient Tracking of 3D Objects Using Multiple Orthogonal Cameras

We introduce a multi-view direct procedure for efficiently tracking 3D objects. It is an extension of Hager and Belhumeur’s factorisation approach to the case of three-dimensional objects and multi-camera setup. By tracking a 3-D object we mean to estimate the pose and location of the object through a video sequence. A novel parameterisation of the object texture allow us to compute the Jacobia...