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. © 2013 Springer-Verlag.
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CITATION STYLE
Körner, M., & Denzler, J. (2013). JAR-Aibo: A multi-view dataset for evaluation of model-free action recognition systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8158 LNCS, pp. 527–535). https://doi.org/10.1007/978-3-642-41190-8_57
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