Speaker: Dr Chris McCool, Australian Centre for Robotic Vision (ACRV), EECS, QUT.
Title: Environmental Computer Vision
Date: 8 August 2016
Abstract: Object classification and image understanding has been a core problem in computer vision and pattern recognition for more than three decades. The problems have generally been considered in either ideal indoor conditions or highly controlled environments. Applying these technologies to practical real-world problems, such as Environmental Computer Vision, have remained beyond their scope. Recent advances in machine learning and computer vision have opened up the possibility of applying these algorithms to complex and uncontrolled environments. In this presentation, I will briefly cover some of the practical applications that are being enabled by this technology from robotic platforms such as AgBot II and Harvey through to the potential automation of ecological studies.