Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems
نویسنده
چکیده
Thermo vision are used in military, police custom traffic control, industrial and other specific applications for collecting and processing thermo visual information from infrared images. There is a problem in the steps of implementation of the developed methods and algorithms for infrared image processing in real time practical applications of thermo vision systems. Here is proposed to exploit the advances in powerful parallel computer graphics and image processing for computer vision and computer games applications, where are developed graphical processing unit (GPU) and Compute Unified Device Architecture (CUDA) with the ability of parallel processing and the highspeed memory access of graphical processing units (GPU), which is essential in the real time applications with neural networks in most of the infrared image processing applications. Key-Words: spiking neural networks; real time infrared image processing; thermo vision systems
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