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Converting video classification problem to image classification with global descriptors and pre-trained network
IET Computer Vision
Motion history image (MHI) is a spatio-temporal template that temporal motion information is collapsed into a single image where intensity is a function of recency of motion. Also, it consists of spatial information. Energy image (EI) based on the magnitude of optical flow is a temporal template that shows only temporal information of motion. Each video can be described in these templates. So, four new methods are introduced in this study. The first three methods are called basic methods. Indoi:10.1049/iet-cvi.2019.0625 fatcat:zwmndlydmbb7xbfstz63eew274