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|Title:||Automatic Learning of Typical Paths in Video Surveillance|
|Keywords:||Self Organizing Maps|
|Abstract:||This paper presents an approach to the acquisition of typical paths tread by people in large environments, and signal deviations. This work is part of a larger project, tested both in simulations as well as using real footage. The adaptation required for the continuous update of typical paths is achieved using Self-Organizing Maps (SOM), supplemented with original solutions for map-selection.|
|Appears in Collections:||CTI-CRI - Comunicações a conferências internacionais|
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|VicenteNunes2010 - JOCLAD2010 extended abstract _version 7_.pdf||298.47 kB||Adobe PDF||View/Open Request a copy|
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