We propose a novel algorithm for robust object detection and segmentation, which is based on a new robust dissimilarity measure called as Radial Reach Correlation (RRC). The capability of detecting new objects from a complex background is one of the most (,I. r ~ t r e n 2 :%qe (D c-~rren: scerle (c) RRC imaqe important technologie for many vision systems. The usual approach for detecting new o...

This paper presents a method for human action recognition using silhouette histogram. The human silhouette is obtained by using the background subtraction method and then mapped into three different polar coordinate systems that characterize three parts of a human figure respectively. Each polar coordinate system is quantized by partitioning it into several cells with different radii and angles...

This work was part of the course EC520. The objective of this project is to develop an algorithm for the detection and enumeration of crabs on beach. The basic method is background modeling and background subtraction. Based on several previous frames, the background of current frame can be estimated using median model or non-parametric model. Morphological operation is applied to foreground ima...

The tracking of individual cells in time-lapse microscopy facilitates the assessment of certain characteristics of different cell types. Since manual tracking of an adequate number of cells over a considerable number of frames is tedious and sometimes not feasible, there is a vital interest in automated methods. We present a rather minimalistic approach for the tracking of unstained cells in ce...

This paper describes a new method to detect moving objects in a dynamic scene based on background subtraction. The main goal of the method is to obtain and keep a stable background image to cope with variations on environmental changing conditions. In this way, we use a double background (long-term background and short-term background) to deal with temporal stability and fast changes. In additi...

This paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the ...

Ship-based automatic detection of small floating objects on an agitated sea surface remains a hard problem. Our main concern is the detection of floating mines, which proved a real threat to shipping in confined waterways during the first Gulf War, but applications include salvaging, search-and-rescue operation, perimeter, or harbour defense. Detection in infrared (IR) is challenging because a ...

We propose a novel technique for background estimation on the tabletop systems that have an information display on the tabletop and observe tabletop objects with a camera. In such systems, the background of an image observed with the camera includes the image shown on the tabletop display. The background varies according to the information presented on the tabletop display. Although we can esti...