Knives are picked before slices are cut: Recognition through activity sequence analysis
Author
İşcen, Ahmet
Duygulu, Pınar
Date
2013-10Source 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 PaperItem Usage Stats
105
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68
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downloads
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 recognitionActivity 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/11693/28025Published Version (Please cite this version)
http://dx.doi.org/10.1145/2506023.2506025Collections
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