@inproceedings{48ea49a2aedd4844a0d4c09d7b039a42,
title = "JAR-Aibo: A multi-view dataset for evaluation of model-free action recognition systems",
abstract = "We present a novel multi-view dataset for evaluating model-free action recognition systems. Superior to existing datasets, it covers 56 distinct action classes. Each of them was performed ten times by remotely controlled Sony ERS-7 AIBO robot dogs observed by six distributed and synchronized cameras at 17 fps and VGA resolution. In total, our dataset contains 576 sequences. Baseline results show its applicability for benchmarking model-free action recognition methods.",
keywords = "action recognition, behaviour understanding, dataset",
author = "Marco K{\"o}rner and Joachim Denzler",
year = "2013",
doi = "10.1007/978-3-642-41190-8\_57",
language = "English",
isbn = "9783642411892",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "527--535",
booktitle = "New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Proceedings",
note = "17th International Conference on Image Analysis and Processing, ICIAP 2013 ; Conference date: 09-09-2013 Through 13-09-2013",
}