Spatiotemporal saliency based on opponent oriented energy for background subtraction in complex scenes
Yue Fei Zhou · Chinese Journal of Stereology and Image Analysis · 2012
A computational unsupervised saliency model utilizing bio-inspired features for spatiotemporal saliency is presented in this paper.We first propose distributed opponent oriented energy for capturing local dynamic texture ensemble motion.Then,we integrate the derived characterization and a revised self-resemblance saliency framework.High effectiveness and efficiency of the proposed method is extensively demonstrated both qualitatively and quantitatively,for background subtraction in the cases of extremely dynamic scenes and camera jitter.In terms of the trade-off between accuracy and computation cost,our method achieved competitive results in contrast to the state-of-art algorithm.