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      Knives are picked before slices are cut: Recognition through activity sequence analysis

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      Author
      İşcen, Ahmet
      Duygulu, Pınar
      Date
      2013-10
      Source Title
      CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities
      Publisher
      ACM
      Pages
      3 - 8
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this paper, we introduce a model to classify cooking activities using their visual and temporal coherence information. We fuse multiple feature descriptors for fine-grained activity recognition as we would need every single detail to catch even subtle differences between classes with low inter-class variance. Considering the observation that daily activities such as cooking are likely to be performed in sequential patterns of activities, we also model temporal coherence of activities. By combining both aspects, we show that we can improve the overall accuracy of cooking recognition tasks. © Copyright 2013 ACM.
      Keywords
      Action recognition
      Activity recognition
      Cooking activities
      Image recognition
      Activity sequence
      Daily activity
      Multiple feature descriptors
      Overall accuracies
      Sequential patterns
      Temporal coherence
      Motion estimation
      Permalink
      http://hdl.handle.net/11693/28025
      Published Version (Please cite this version)
      http://dx.doi.org/10.1145/2506023.2506025
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      • Department of Computer Engineering 1427
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