Moving object segmentation using optical flow with active contour model

Youssef Zinbi (1) , Youssef Chahir (2) , Abderrahim Elmoataz (2)

1 GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
2 Equipe Image - Laboratoire GREYC - UMR6072

The paper presents an object segmentation approach that combines optical flow and active contour model to characterize objects and follow them in video sequences. Our aims is to discriminate moving objects from a static background. The approach is based on a minimization of a functional of energy (E) which uses perceptual information in regions of interest (ROI) in an image, in conjunction with a mixture of Gaussian to model voxels of the background image and those of the visual objects. In this work, we compute the optical flow then we use the result of the optical flow as an input in an active contour model. Experiments with a number of test sequences are promising and extend the numerous works on this subject.

Mots clés: Optical Flow; Active Contour; Tracking; Image and Video Segmentation

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Youssef Zinbi, Youssef Chahir, Abderrahim Elmoataz. Moving object segmentation using optical flow with active contour model. The international conference on information & communication technologies : from theory to applications, 2008, Damascus, Syria. pp.1-5, ⟨10.1109/ICTTA.2008.4530112⟩. ⟨hal-00264107⟩