Complex Visual Activity Recognition Using a Temporally Ordered Database

Authors:
Shailendra K. Bhonsle;Amarnath Gupta;Simone Santini;Marcel Worring;Ramesh Jain
Affiliations:
-;-;-;-;-
Venue:
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Year:
1999

Citing 5
Cited 0

Modeling concurrency with partial orders

International Journal of Parallel Programming
Symbolic Description and Visual Querying of Image Sequences Using Spatio-Temporal Logic

IEEE Transactions on Knowledge and Data Engineering
An Algebra for Pomsets

ICDT '95 Proceedings of the 5th International Conference on Database Theory
Towards semantically meaningful feature spaces for the characterization of video content

ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
An extension of SQL to support ordered domains in relational databases

IDEAS '97 Proceedings of the 1997 International Symposium on Database Engineering & Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose using a temporally ordered database for complex visual activity recognition. We use a temporal precedence relation together with the assumption of fixed bounded temporal uncertainty of occurrence time of an atomic activity and comparatively large temporal extent of the complex activity. Under these conditions we identify the temporal structure of complex activities as a semiorder and design a database that has semiorder as its data model. A query algebra is then defined for this data model.