Neuromorphic: The Next Step for Video Surveillance?

Last month, I delved into the subject of Deep Learning and its application in video surveillance, particularly analytics (www.securityinfowatch.com/12221990). This is now becoming feasible through components called Graphics Processing Units (GPUs), which enable pixel-level processing and analysis. As luck would have it, since writing that piece, I found myself with a little time to plow through the stack of unread publications that had been accumulating in my office. Fortunately, I stumbled onto something quite interesting in the Dec. 2015 issue of IEEE Spectrum, authored by Christopher Posch, Ryad Benosman and Rapph Etienne-Cummmings (read it at http://bit.ly/IEEE_Spectrum1115), dealing with an approach to video processing rooted in neuromorphic engineering — creating electronic signal-­processing systems inspired by biological systems. No, we’re not talking about viruses; interestingly, the electronic research dates back to the…


Link to Full Article: Neuromorphic: The Next Step for Video Surveillance?