Visual saliency approach to anomaly detection in an image ensemble
Anurag Kumar Singh, Michael A. Pratt, Chee‐Hung Henry Chu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Visual saliency is a bottom-up process that identifies those regions in an image that stand out from their surroundings. We oversegment an image as a collection of “super pixels” (SPs). Each SP is salient if it is different in color from all other SPs and if its most similar SPs are nearby. We test our method on image sequences collected by a vehicle. We consider an SP in a frame as salient if it stands out from all frames in a collection that consists of an ensemble of images from different road segments and a sequence of immediate past frames.