DocumentCode
2121638
Title
Video summarization based on extracted key position of spotted objects
Author
Fataliyev, Zaur ; Han, David ; Imamverdiyev, Yadigar ; Hanseok Ko
Author_Institution
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear
2015
fDate
9-12 Jan. 2015
Firstpage
331
Lastpage
332
Abstract
This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.
Keywords
image fusion; video surveillance; key position extraction; motion pattern; novel fusion method; video summarization; video surveillance; Acceleration; Algorithm design and analysis; Conferences; Data mining; Feature extraction; Indexes; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-7542-6
Type
conf
DOI
10.1109/ICCE.2015.7066433
Filename
7066433
Link To Document