Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition

no code implementations • CVPR 2013 • Vinay Bettadapura, Grant Schindler, Thomaz Plotz, Irfan Essa

We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori.

Activity Recognition