Video Saliency Detection Using Contrast of Spatiotemporal Directional Coherence

Abstract

Saliency detection in video sequences has attracted great attention in recent years due to its promising contributions for various computer vision applications. However, most existing methods often fail to correctly find salient regions in complex scenes due to ambiguities between salient motions and irrelevant ones generated from the background. In this letter, we present a simple and powerful framework for video saliency detection based on the contrast of the spatiotemporal directional coherence. Our approach is designed in a general way so that it can be applied to videos taken under various environments including dynamic illuminations and textures in the background, which still bother previous saliency detection methods. Based on various challenging datasets, we compare ours with several competitive approaches proposed in literature and results demonstrate that the proposed method is effective and robust for detecting salient regions in diverse video sequences.