Automatic Detection of Perceptually Salient Objects or Human Beings in an Image

Abstract

In the early process of the human vision, it is known that people pay preferential attention to salient objects. Many researches have been made to achieve this process on a computer. We propose the method to automatically identify perceptually salient objects in a static image by using the visual attention model based on the early process of human vision. We also propose to apply the method to the detection of human beings by optimizing the feature extraction of the visual attention model and by using nonlinear support vector machines. This research is applicable to detect suspicious individuals in a surveillance image and prevent car accidents.