WISP TALK SERIES : AI-based Video Analytics

In this talk, we will present and discuss the current trends and researches in video analytics. As surveillance cameras have been widely installed worldwide, although the main purpose of those cameras is for monitoring, the most important task is to be able to analyze video contents and extract useful information. Artificial Intelligence (AI) and deep learning-based computer vision techniques utilizing multi-layer neural networks are drastically improving the performance of video analytics to a certain extent. Several on-going researches on deep learning-based video analytics such as image super resolution, real-time multiple face recognition system, video anomaly detection and several implementations of embedded video analytic systems on FPGA and Single Board Computers will be discussed. Some use cases of utilizing video analytics will also be mentioned. Co-sponsored by: Indus University Speaker(s): Supavadee, Virtual: https://events.vtools.ieee.org/m/280006