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Lecture Notes in Computer Science
This paper addresses the problem of fast Human Activity Recognition (HAR) in visual lifelogging. We identify the importance of visual features related to HAR and we specifically evaluate the HAR discrimination potential of Colour Histograms and Histogram of Oriented Gradients. In our evaluation we show that colour can be a low-cost and e↵ective means of low-cost HAR when performing single-user classification. It is also noted that, while much more e cient, global image descriptors perform asdoi:10.1007/978-3-319-14442-9_43 fatcat:faze2rg7eraytdjmklmckkds2i