Video segmentation algorithm based on modified Mumford-Shah functional

Authors:
A. Cutolo;V. Tufano
Affiliations:
Department of Electronics Engineering and Informatics Engineering, University of Salerno, Fisciano, Sa, Italy;Department of Electronics Engineering and Informatics Engineering, University of Salerno, Fisciano, Sa, Italy
Venue:
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
Year:
2011

Citing 5
Cited 0

Motion segmentation and qualitative dynamic scene analysis from an image sequence

International Journal of Computer Vision
3D morphological segmentation and motion estimation for image sequences

Signal Processing - Special issue on mathematical morphology and its applications to signal processing
Spatio-temporal segmentation based on motion and static segmentation

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Level Lines Selection with Variational Models for Segmentation and Encoding

Journal of Mathematical Imaging and Vision
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

SIAM Journal on Imaging Sciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a video segmentation procedure obtained minimizing a modified version of the simplified Mumford - Shah functional used for image partition. This procedure uses a graph with spatial and temporal connections to model a video sequence. The temporal connections are defined pre-computing the dense optical flow using methods available in the literature. To simplify the functional minimization we construct the hierarchy of partitions that allows to obtain a very quickly computation.