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Author Ben Aoun, N. ♦ Elghazel, H. ♦ Ben Amar, C.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Support vector machines ♦ video event detection ♦ Image segmentation ♦ Event detection ♦ Hidden Markov models ♦ video indexing ♦ Feature extraction ♦ graph modeling ♦ Region Adajency Graph ♦ Indexing
Abstract Video processing and analysis have been an interesting field in research and industry. Information detection or retrieval were a challenged task especially with the spread of multimedia applications and the increased number of the video acquisition devices such as the surveillance cameras, phones cameras. These have produced a large amount of video data which are also diversified and complex. This is what makes event detection in video a difficult task. Many video event detection methods were developed which are composed of two fundamental parts: video indexing and video classification. In this paper, we will introduce a new video event detection system based on graphs. Our system models the video frame as a graph in addition to a motion description. Thereafter, these models were classified and events are detected. Experimental results proved the effectiveness and the robustness of our system.
Description Author affiliation: REGIM: REsearch Group on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia (Ben Aoun, N.; Ben Amar, C.) || GAMA laboratory, University of Lyon, University of Lyon 1, 69622, Villeurbanne, France (Elghazel, H.)
ISBN 9781457703119
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-04-25
Publisher Place United Arab Emirates
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457703140
Size (in Bytes) 325.42 kB
Page Count 4
Starting Page 114
Ending Page 117


Source: IEEE Xplore Digital Library