@article {1367,
	title = {Seeing is Worse than Believing: Reading People{\textquoteright}s Minds Better than Computer-Vision Methods Recognize Actions},
	number = {012},
	year = {2014},
	month = {09/2014},
	abstract = {<p>We had human subjects perform a one-out-of-six class action recognition task from video stimuli while undergoing functional magnetic resonance imaging (fMRI). Support-vector machines (SVMs) were trained on the recovered brain scans to classify actions observed during imaging, yielding average classification accuracy of 69.73\% when tested on scans from the same subject and of 34.80\% when tested on scans from different subjects. An apples-to-apples comparison was performed with all publicly available software that implements state-of-the-art action recognition on the same video corpus with the same cross-validation regimen and same partitioning into training and test sets, yielding classification accuracies between 31.25\% and 52.34\%. This indicates that one can read people{\textquoteright}s minds better than state-of-the-art computer-vision methods can perform action recognition.</p>
},
	author = {Andrei Barbu and Daniel Barrett and Wei Chen and N. Siddharth and Caiming Xiong and Jason J. Corso and Christiane D. Fellbaum and Catherine Hanson and Stephen Jos{\'e} Hanson and Sebastien Helie and Evguenia Malaia and Barak A. Pearlmutter and Jeffrey Mark Siskind and Thomas Michael Talavage and Ronnie B. Wilbur}
}
