Home  |   Login  |   Logout  |   Access Information  |   Alerts  |   Purchase History  |   Cart  |   Sitemap  |   Help   
 
CrossRef Search
BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT
You requested this document:
1. Detecting multiple moving targets using deformable contours
Paragios, N.; Deriche, R.;
Image Processing, 1997. Proceedings., International Conference on
Volume 2,  26-29 Oct. 1997 Page(s):183 - 186 vol.2
Abstract:

This paper presents a framework for detecting multiple moving moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two Laplacian distributions and a deformable contour-based energy minimization approach, we reformulate the motion detection problem as a front propagation problem. Following the work of geodesic active contours, we transform the moving objects detection problem into an equivalent problem of geodesic computation, which is solved using a level set formulation scheme. To reduce the computational cost required by a direct implementation of the formulation scheme the narrow band technique is used. In order to further reduce the CPU time, a multi-scale approach has also been considered. Very promising experimental results are provided using real video sequences
Abstract | Full Text: PDF(712 KB)    IEEE CNF
 
» Key
IEEE JNL IEEE Journal or Magazine
IEE JNL IEE Journal or Magazine
IEEE CNF IEEE Conference Proceeding
IEE CNF IEE Conference Proceeding
IEEE STD IEEE Standard
 
 
Indexed by IEE Inspec
© Copyright 2008 IEEE – All Rights Reserved