@article {12675,
	title = {Interpretation of state sequences in HMM for activity representation},
	journal = {Proc. IEEE Conf. Acoustic Speech and Signal Processing},
	volume = {2},
	year = {2005},
	month = {2005///},
	pages = {709 - 712},
	abstract = {We propose a method for activity representation based on seman-tic events, using the HMM framework. For every time instant, the
probability of event occurrence is computed by exploring a subset
of state sequences. The idea is that while activity trajectories may
have large variations at the data or the state levels, they may ex-
hibit similarities at the event level. Our experiments show the ap-
plication of these events to activity recognition in an office envi-
ronment and to anomalous trajectory detection using surveillance
video data.
},
	author = {Cuntoor, N.P. and Yegnanarayana,B. and Chellapa, Rama}
}
