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MMM
2015
Springer

Fast Human Activity Recognition in Lifelogging

3 years 9 months ago
Fast Human Activity Recognition in Lifelogging
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 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.
Stefan Terziyski, Rami Albatal, Cathal Gurrin
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where MMM
Authors Stefan Terziyski, Rami Albatal, Cathal Gurrin
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