Design on Intelligent Video Surveillance System Based on Target Identification Algorithm

This paper makes study on the adjacent frame difference and algorithm realization of SOM i8dentification after improvement, of which it includes motion detection, target identification; the realized video surveillance module makes up the intelligent video surveillance that can reconstruct platform....

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 713-715; no. Mechatronics Engineering and Modern Information Technologies in Industrial Engineering; pp. 460 - 465
Main Authors Jie, Cai, Meng, Zong Jie
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2015
Subjects
Algorithms
Design engineering
Frames
Hardware
Modules
Motion perception
Platforms
Surveillance
Motion Detection
Adjacent Frame Difference
Intelligent Video Surveillance
Target Identification
Online AccessGet full text

Cover

More Information
Summary:This paper makes study on the adjacent frame difference and algorithm realization of SOM i8dentification after improvement, of which it includes motion detection, target identification; the realized video surveillance module makes up the intelligent video surveillance that can reconstruct platform. Motion detection module adopts algorithm of adjacent frame difference after improvement, which can correctly mark the motion object. Target identification module adopts self-mapping nerve net after improvement, it is easier for hardware realization, and meanwhile the accuracy rate of identification is equal to classical algorithm.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Modern Technologies in Industrial Engineering (MEMTIE 2014), October 25-26, 2014, Changsha, Hunan, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:9783038353799
3038353795
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.713-715.460