Video Processing Techniques for Real-Time Traffic Applications

A survey of video processing techniques for traffic applications

Video sensors become particularly important in traffic applications mainly due to their fast response, easy installation, operation and maintenance, and their ability to monitor wide areas. Research in several fields of traffic applications has resulted in a wealth of video processing and analysis methods. Two of the most demanding and widely studied applications relate to traffic monitoring an...

Distributed Computing for Real-time Video Processing

Real-time video processing, such as rendering and/or encoding, is one of the most bandwidth demanding operation in audio-visual applications [1][2]. There have been many efforts at parallelizing video rendering and encoding architecture mainly for VLSI chip design [3][4][5][6][7][8][9][10][11][12][13] [14][15][16]. However, not a lot of research has been dedicated in the area of distributed com...

Codesign for Real-Time Video Applications

Codesign For Real-Time Video Applications

Simulation of a Neutron Detector for Real Time Imaging Applications

Monte Carlo Method is used to simulate a double layer gadolinium-amorphous silicon thermal neutron detector. The detector fabricated in pixel array configuration has various applications including neutron imaging. According to the simulation results, a detector consisting of a gadolinium (Gd) film with thickness of 2-4 ~m, sandwiched properly with two layers of sufficiently thick (-30 ?µm) hydr...