@inproceedings{faf64c4935f34da4a614ff085bed05e0,
title = "Revisiting LBP-based texture models for human action recognition",
abstract = "A new method for action recognition is proposed by revisiting LBP-based dynamic texture operators. It captures the similarity of motion around keypoints tracked by a realtime semi-dense point tracking method. The use of self-similarity operator allows to highlight the geometric shape of rigid parts of foreground object in a video sequence. Inheriting from the efficient representation of LBP-based methods and the appearance invariance of patch matching method, the method is well designed for capturing action primitives in unconstrained videos. Action recognition experiments, made on several academic action datasets validate the interest of our approach.",
keywords = "Action recognition, Dynamic texture,. . ., Local binary pattern",
author = "Nguyen, \{Thanh Phuong\} and Antoine Manzanera and Vu, \{Ngoc Son\} and Matthieu Garrigues",
year = "2013",
month = dec,
day = "1",
doi = "10.1007/978-3-642-41827-3\_36",
language = "English",
isbn = "9783642418266",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "286--293",
booktitle = "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings",
edition = "PART 2",
note = "18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 ; Conference date: 20-11-2013 Through 23-11-2013",
}