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A Novel Dictionary Learning based Multiple Instance Learning Approach to Action Recognition from Videos
2017
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
In this paper we deal with the problem of action recognition from unconstrained videos under the notion of multiple instance learning (MIL). The traditional MIL paradigm considers the data items as bags of instances with the constraint that the positive bags contain some class-specific instances whereas the negative bags consist of instances only from negative classes. A classifier is then further constructed using the bag level annotations and a distance metric between the bags. However, such
doi:10.5220/0006200205190526
dblp:conf/icpram/RoyBM17
fatcat:j7pvnjii6ndgjghycqlt7sqxfq