Real Time Audio�Visual Sensing and Sense Making

About This Course

Real time audio-visual sensing systems make use of audio analytics and video analytics technology to translate audio-visual data into meaningful information in real time to aid business and operation. Demand for intelligent audio/video surveillance in real time is further accelerated due to additional features such as improved accuracy, enhanced reliability, and cost-effectiveness, along with its growing significance in business intelligence.

For example, they provide the means for the robot to interact intelligently with the outside world through acoustic and visual perception, which senses and enables robots to perform very flexible tasks such as moving around autonomously in a factory floor or outdoors. Their applications are plentiful and very challenging, such as human activity interpretations, human-computer interaction, real-time crowd surveillance in public place, human motion monitoring in healthcare, customer emotion recognition in retail.

This 4-day course presents the core technologies of audio-visual sensing and sense making fundamentals, and practical audio/video analytics skills and strategies for real-world industrial implementations through workshop sessions. The course will cover the how to process, integrate, interpret and act upon both audio and visual data in real time, such as fundamentals of audio processing in spatial and frequency domain, audio analytics and video analytics, motion and tracking, video classification and event recognition, as well as practical workshop sessions that allow participants to analyse, articulate and apply the new skills in their work and that of their teams and organisations.

This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.