@inbook {1090, title = {Seeing is worse than believing: Reading people{\textquoteright}s minds better than computer-vision methods recognize actions}, booktitle = {Computer Vision {\textendash} ECCV 2014, Lecture Notes in Computer Science}, series = {13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V}, volume = {8693}, year = {2014}, pages = {612{\textendash}627}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Zurich, Switzerland}, abstract = {

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.

}, doi = {10.1007/978-3-319-10602-1_40}, 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} }