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Output details

11 - Computer Science and Informatics

Kingston University

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Article title

A particle swarm optimization algorithm with interactive swarms for tracking multiple targets

Type
D - Journal article
Title of journal
Applied Soft Computing
Article number
-
Volume number
13
Issue number
6
First page of article
3106
ISSN of journal
1568-4946
Year of publication
2013
Number of additional authors
3
Additional information

<22> The paper introduces an innovative method to track individuals in complex and cluttered areas, typical in video surveillance applications. In particular, the paper addresses a new and emerging area of research that exploits distributed intelligent methods together with nature inspired algorithms. The paper is part of a special issue that puts forward new research in swarm intelligence for a variety of applications. This paper is expected to attract attention in the artificial intelligence, machine learning and computer vision communities.

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
-