Terziyski, Stefan, Albatal, RamiORCID: 0000-0002-9269-8578 and Gurrin, CathalORCID: 0000-0003-2903-3968
(2015)
Fast human activity recognition in lifelogging.
MultiMedia Modeling, 8936
.
pp. 369-379.
ISSN 0302-9743
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 effective means of low-cost HAR when performing single-user classification. It is also noted that, while much more efficient, 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.
Item Type:
Article (Published)
Refereed:
Yes
Additional Information:
This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under grant number SFI/12/RC/2289.