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11

ECAI
2010
Springer

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232views Artificial Intelligence» more ECAI 2010»

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

13 years 5 months ago

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

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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.

Muralikrishna Sridhar, Anthony G. Cohn, David C. H

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Artificial Intelligence | ECAI 2010 | Mining Based Approach | Qualitative Spatial Relations | Qualitative Spatio-temporal Relationships |

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Added	08 Nov 2010
Updated	08 Nov 2010
Type	Conference
Year	2010
Where	ECAI
Authors	Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg

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