|Title||Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions|
|Publication Type||CBMM Memos|
|Year of Publication||2014|
|Authors||Barbu, A, Barrett, D, Chen, W, Siddharth, N, Xiong, C, Corso, JJ, Fellbaum, CD, Hanson, C, Hanson, SJosé, Helie, S, Malaia, E, Pearlmutter, BA, Siskind, JMark, Talavage, TMichael, Wilbur, RB|
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.
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