Fast Human Activity Recognition in Lifelogging [chapter]

Stefan Terziyski, Rami Albatal, Cathal Gurrin
2015 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 as
more » ... l or better than local descriptors in our HAR experiments. We believe that both of these findings are due to the fact that a user's lifelog is rich in reoccurring scenes and environments.
doi:10.1007/978-3-319-14442-9_43 fatcat:faze2rg7eraytdjmklmckkds2i