No abstract

No abstract

Design of automated video surveillance systems is one of the exigent missions in computer vision community because of their ability to automatically select frames of interest in incoming video streams based on motion detection. This research paper focuses on the real-time hardware implementation of a motion detection algorithm for such vision based automated surveillance systems. A dedicated VLSI architecture has been proposed and designed for clustering-based motion detection scheme. The working prototype of a complete standalone automated video surveillance system, including input camera interface, designed motion detection VLSI architecture, and output display interface, with real-time relevant motion detection capabilities, has been implemented on Xilinx ML510 (Virtex-5 FX130T) FPGA platform. The prototyped system robustly detects the relevant motion in real-time in live PAL (720ˆ576) resolution video streams directly coming from the camera.

It is shown that As10Ge15Te75 can be used as a microwave switch to control the propagation of microwaves through the switch with the help of a dc voltage. When the voltage is increased to a threshold value then there is a simultaneous increase in the dc as well as in the microwave conduction through the material. The filamentary path observed in the switched sample is found to be crystalline and the composition of the material inside the filament region changes to As3Ge5Te92.

No abstract