@inproceedings{47f0d1e3c120424abf1a073b9743a87e,
title = "Knives are picked before slices are cut: Recognition through activity sequence analysis",
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.",
keywords = "Action recognition, Activity recognition, Cooking activities",
author = "Ahmet Iscen and Pinar Duygulu",
year = "2013",
doi = "10.1145/2506023.2506025",
language = "English",
isbn = "9781450323925",
series = "CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities",
publisher = "Association for Computing Machinery",
pages = "3--8",
booktitle = "CEA 2013 - Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities",
address = "United States",
note = "5th International Workshop on Multimedia for Cooking and Eating Activities, CEA 2013 ; Conference date: 21-10-2013 Through 21-10-2013",
}