Visual saliency is a cognitive psychology concept that makes some stimuli of a scene stand out relative to their neighbors and attract our attention. Computing visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency detection, which contains three stages: pre-processing, initial saliency detection and final saliency detection. The initial saliency map i...

Background subtraction is widely used for detecting moving objects; however, color similarity between a background and a moving object is still an important problem. In this paper, we present an exemplar based approach to efficiently detect walking persons that are similar in color to the background. Exemplar database is constructed from couples of degraded and complete human silhouette pattern...

Background subtraction is a vital step in many computer vision systems. In background subtraction, one is given two (or more) frames of a video sequence taken with a still camera. Due to the stationarity of the camera, any color change in the scene is mainly due to the presence of moving objects. The goal of background subtraction is to separate the moving objects (also called the foreground) f...

This paper proposes a method that tracks, and recognizes people in indoor scenes. Background subtraction and foreground silhouette analysis are used to detect people. The colour of each person’s clothes is used as a distinguishing feature for the purpose of tracking and recognizing people. Clothing colour is extracted using histograms on a luminance and perceptually uniform chrominance colour s...