Output details
11 - Computer Science and Informatics
Kingston University
Article title
Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes
Type
D - Journal article
Title of journal
IEEE Transactions on Cybernetics
Article number
-
Volume number
43
Issue number
6
First page of article
1
ISSN of journal
2168-2275
Year of publication
2013
Number of additional authors
2
Additional information
<23> This paper describes a novel method that adheres to the recent Manifold Learning research field. The paper is also in line with the latest research on video surveillance, a topic of great interest in the computer vision research area. The novelty of the approach stems from the development of a method that works in space-time when current methods only deal with either space or time separately. The paper is expected to attract attention in computer vision, manifold learning and video surveillance areas of research.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-