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Fast Human Activity Recognition in Lifelogging


Stefan Terziyski, Rami Albatal, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract. 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 dis- crimination 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 classifi- cation. It is also noted that, while much more ecient, global image descriptors perform as well 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.
Conference Name: 
MMM 2015
21st International Conference, MMM 2015
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
Research Group: 
Dublin City University (DCU)
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