The high prevalence of urban flooding in the world is increasing rapidly with rise extreme weather events. Consequently, this research uses an Automatic Flood Monitoring System (ARMS) through a video surveillance camera. Initially, videos are collected from camera and converted into frames. After converting frames, water level can be identified by using Histogram oriented Gradient (HoG), which ...

We have successfully implemented a Video-based Automated System for Iris Recognition (VASIR), evaluating its successful performance on the MBGC dataset. The proposed method facilitates the ultimate goal of automatically detecting an eye area, extracting eye images, and selecting the best quality iris image from video frames. The selection method’s performance is evaluated by comparing it to the...

Telemedicine holds important place and has wider use in health care practice and improvement of health organization, above all providing the opportunity for standard and innovative procedures to combine. Tremendous increase in Internet bandwidth enabled a true revolution in image transmission and enabled easy remote viewing of the static images. However, transmission of real time video streams ...

We present a dedicated video-based monitoring system for quantification of patient’s attention to visual feedback during robot assisted gait rehabilitation. Two different approaches for eye gaze and head pose tracking are tested and compared. Several metrics for assessment of patient’s attention are also presented. Experimental results with healthy volunteers demonstrate that unobtrusive video-...

The paper presents an advanced system for railway and road traffic noise monitoring in metropolitan areas. This system is a functional part of a more complex solution designed for environmental monitoring in cities utilizing analyses of sound, vision and air pollution, based on a ubiquitous computing approach. The system consists of many autonomous, universal measuring units and a multimedia se...

A video digitizing system based on an Apple II personal computer has been developed for use in quantitative autoradiography. The selection process of an acceptable video camera, an illumination system, and the functions provided in the software are discussed. This system is in routine use and has been duplicated by several other laboratories.