Title :
An effective segmentation of moving objects by a novel local regions-based level set
Author :
Boumehed, Meriem ; Alshaqaqi, Belal ; Ouamri, Abdelaziz ; Keche, Mokhtar ; El Amine Ouis, Mohamed
Author_Institution :
Dept. of Electron., Signals & Images Lab., Univ. of Sci. & Technol. of Oran "Mohamed Boudiaf", Oran, Algeria
Abstract :
This paper presents new local regions based level set model for segmenting multiple moving objects in video sequences captured by a stationary camera. The main idea evolves around the reformulation of well-known global energy in local way, by utilizing little squared windows centered on each point over a thin band surrounding the zero level set, hence the object contour can be reshaped into small local interior and exterior regions that lead to compute a family of adaptive local energies. Moreover, we propose to adapt the smoothness of the contours with an automatic stopping criterion. The proposed method has been tested on different real videos, and the experiment results demonstrate that our algorithm can segment effectively and accurately the moving objects.
Keywords :
image segmentation; image sequences; video signal processing; adaptive local energies; little squared windows; local regions-based level set; multiple moving object segmentation; object contour; real videos; stationary camera; stopping criterion; video sequences; zero level set; Active contours; Computational modeling; Equations; Image segmentation; Level set; Mathematical model; Sensitivity;
Conference_Titel :
Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
Conference_Location :
Algiers
DOI :
10.1109/WoSSPA.2013.6602360