Improving the recognition of interleaved activities

Improving the recognition of interleaved activities (2008)

by Joseph Modayil , Tongxin Bai , Henry Kautz

Venue:	In submission
Citations:	3 - 1 self

Datum	Value	Source
TITLE	Improving the recognition of interleaved activities	INFERENCE
AUTHOR NAME	Joseph Modayil	SVM HeaderParse 0.2
AUTHOR NAME	Tongxin Bai	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science; University of Rochester	SVM HeaderParse 0.2
AUTHOR ADDR	Rochester, NY 14627	SVM HeaderParse 0.2
AUTHOR NAME	Henry Kautz	SVM HeaderParse 0.2
ABSTRACT	We introduce Interleaved Hidden Markov Models for recognizing multitasked activities. The model captures both inter-activity and intra-activity dynamics. Although the state space is intractably large, we describe an approximation that is both effective and efficient. This method significantly reduces the error rate when compared with previously proposed methods. The algorithm is suitable for mobile platforms where computational resources may be limited.	SVM HeaderParse 0.2
YEAR	2008	INFERENCE
VENUE	In submission	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	14 found	ParsCit 1.0