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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
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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机译：用于训练卷积神经网络并使用训练后的卷积神经网络对对象在视频中进行的动作进行分类的系统和方法
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摘要
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.
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