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
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;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066433
