Saliency Based Object Detection and Enhancements Using Spectral Residual Approach in Static Images and Videos

Salient feature extraction in images and videos are of high concern from the aspect of object detection. Today there are many techniques which are used to extract the salient features. Salient features are basically the most attention taking features seen by the human eye. In the frequency domain the most appropriate method is the spectral residual approach using the Phase Fourier Transform (PFT) which gives better result than other techniques. In this paper we are implementing the spectral residual method using the Phase Fourier Transform to find out the salient areas. These results have been immensely improved by applying edge detection techniques and morphological operations. To make the object detectable sobel operator and dilation is used. After applying we get better results and a very clean view of the salient areas and in some cases we almost prove total object detection. Furthermore PFT is implemented on videos and for object detection sobel operator and dilation is applied on the results given by PFT. Finally Area under the Receiver Operating Characteristics (AUC) is calculated for both images and videos.