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The objective of this study is to establish a rear-end collision warning system for an advance safety vehicle (ASV) by using a mounted rear-end monitoring camera. The paper attempted to analyze the driving environmental data and built up the rear-end collision warning logic on account of image processing. The main idea of the warning system is to prevent accidents caused by inattentive drivers. In...
The iris is a highly accurate biometric identifier. However widespread adoption is hindered by the difficulty of capturing high-quality iris images with minimal user co-operation. This paper describes a first-generation prototype iris identification system designed for stand-off cooperative access control. This system identifies individuals who stand in front of and face the system after 3.2 seconds...
In this paper, we propose novel methods for background modeling, occlusion handling and event recognition by using multi-camera configurations. Homography-related positions are utilized to construct a mixture of multivariate Gaussians to generate a background model for each pixel of the reference camera. Occlusion handling is achieved by generation of the top-view via trifocal tensors, as a result...
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