A significant problem in scene interpretation is efficient bottom-up extraction and representation of salient features. In this paper, we address the problem of correlating sali...
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...