DocumentCode
3606537
Title
Surveillance System Mobile Object Using Segmentation Algorithms
Author
Osorio, Roman ; Lopez, Ismael ; Pena, Mario ; Lomas, Victor ; Lefranc, Gaston ; Savage, Jesus
Author_Institution
IIMAS, Univ. Nac. Autonoma de Mexico, Mexico City, Mexico
Volume
13
Issue
7
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
2441
Lastpage
2446
Abstract
In this paper a segmentation algorithm is used to detect moving objects and to integrate it to a supervision and surveillance systems, in a parking lot, as a first step. One of the way to moving detection in image sequences is the moving object segmentation by background model, very well-known technique that it permit to know what objects are moving. This can be employed, in the second stage, to identify and to follow objects.
Keywords
image segmentation; image sequences; motion estimation; video surveillance; background model; image sequences; moving object detection; parking lot; supervision systems; surveillance system mobile object; Color; Computational modeling; Conferences; Image color analysis; Image segmentation; Surveillance; Visualization; Robot Visi??n; Visual Surveillance; image processing; segmentation algorithm;
fLanguage
English
Journal_Title
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher
ieee
ISSN
1548-0992
Type
jour
DOI
10.1109/TLA.2015.7273810
Filename
7273810
Link To Document