@inproceedings{5e750a5f04a64c99a28ac7a4e125121b,
title = "Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions",
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's minds better than state-of-the-art computer-vision methods can perform action recognition.",
keywords = "action recognition, fMRI",
author = "Andrei Barbu and Barrett, {Daniel P.} and Wei Chen and Narayanaswamy Siddharth and Caiming Xiong and Corso, {Jason J.} and Fellbaum, {Christiane D.} and Catherine Hanson and Hanson, {Stephen Jos{\'e}} and S{\'e}bastien H{\'e}lie and Evguenia Malaia and Pearlmutter, {Barak A.} and Siskind, {Jeffrey Mark} and Talavage, {Thomas Michael} and Wilbur, {Ronnie B.}",
year = "2014",
month = sep,
day = "12",
doi = "10.1007/978-3-319-10602-1_40",
language = "English",
isbn = "978-3-319-10601-4",
series = " Lecture Notes in Computer Science",
publisher = "Springer",
pages = "612--627",
editor = "David Fleet and Tomas Pajdla and Bernt Schiele and Tinne Tuytelaars",
booktitle = "Computer Vision -- ECCV 2014",
address = "United Kingdom",
note = "European Conference on Computer Vision 2014, ECCV 2014 ; Conference date: 05-09-2014 Through 12-09-2014",
}