Naver Corporation

Vasileios Choutas

Philippe Weinzaepfel

Cordelia Luise Schmid

Jérôme Revaud

A method for training a convolutional neural network for classification of actions performed by subjects in a video is realized by (a) for each frame of the video, for each key point of the subject, generating a heat map of the key point representing a position estimation of the key point within the frame; (b) colorizing each heat map as a function of the relative time of the corresponding frame in the video; (c) for each key point, aggregating all the colorized heat maps of the key point into at least one image representing the evolution of the position estimation of the key point during the video; and training the convolutional neural network using as input the sets associated to each training video of images representing the evolution of the position estimation of each key point during the video.

System and method for training a convolutional neural network and classifying an action performed by a subject in a video using the trained convolutional neural network

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Larissa, Greece

Vasileios Choutas