Paper Info
Title
Classification of similar but differently paced activities in the KTH dataset
Abstract
The KTH video dataset [1] contains three activities -- walking, jogging and running -- which are very similar but are carried out at a different natural pace. We show that explicit inclusion of a feature which may be interpreted as a measure of the overall state of motion in a frame improves a classifier's ability to discriminate between these activities.
Year
DOI
Venue
2014
10.1117/12.2180570
Proceedings of SPIE
Keywords
Field
DocType
Temporal information,Video activity recognition,Different paced activities,KTH dataset
Pace,Computer science,Speech recognition,Classifier (linguistics)
Conference
Volume
ISSN
Citations 
9445
0277-786X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Shreeya Sengupta121.42
hui wang27617.01
Piyush Ojha321.42
William Blackburn494.92