Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs

This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relationships. A Hidden Markov Model to obtain stable qualitative spatial relations from noisy measurements is introduced. The effectiveness of the approach is demonstrated through experimental results for a complex aircraft turnaround apron scenario.

• Type: Conference
• Year: 2010
• Where: ECAI
• Authors: Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
• Keywords: Artificial Intelligence, ECAI 2010, Mining Based Approach, Qualitative Spatial Relations, Qualitative Spatio-temporal Relationships