Description

Trimap Generation for Video Matting

In this project,is generating a trimap for video matting.Object extraction is a critical operation for many content-based video applications. We first segment the foreground using motion information and neighboring pixel coherence via graph cuts.Gaussian Mixture Model for the foreground and background with segmented foreground and estimated static background. Next, we classify the pixels of each frame into models by performing maximum likelihood classification and generate a trimap which is an image consisting of three regions: foreground, background and unknown. Finally, we use the trimap as a guide in spectral matting for video matting. Our experimental results show that the proposed method yields accurate and natural object boundaries.