Summarizing surveillance video by saliency transition and moving object information

Md Musfequs Salehin, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paperpeer-review

9 Citations (Scopus)
4 Downloads (Pure)

Abstract

Every day an enormous amount of video is captured by surveillance system for various purposes around the whole world. However, this is almost impossible for human to analyze the vast majority of video data. In this paper, a video summarization method is introduced combining foreground object, motion, and visual attention cue. Foreground objects typically provide important information about video contents. Additionally, object motion is naturally more attractive to human being. Moreover, visual attention cue indicates the human's attraction label for key frame determination. Using these features, supervised classifier support vector machine (SVM) is applied to obtain the key frames from a surveillance video. Extensive experimental results show that the proposed method performs superior to the state-of-The-Art method using publicly available BL-7F surveillance video dataset.
Original languageEnglish
Title of host publication2015 international conference on digital image computing
Subtitle of host publicationtechniques and applications (DICTA)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages716-723
Number of pages8
ISBN (Electronic)9781467367950
DOIs
Publication statusPublished - 04 Jan 2016
Event2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Adelaide Town Hall, Adelaide, Australia
Duration: 23 Nov 201525 Nov 2015
http://dictaconference.org/dicta2015/index.html (Conference website)
http://dictaconference.org/dicta2015/program.html (Conference program)

Conference

Conference2015 International Conference on Digital Image Computing
Country/TerritoryAustralia
CityAdelaide
Period23/11/1525/11/15
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS). DICTA 2015 is endorsed by the IAPR and technically co-sponsored by the IEEE. The proceedings of the conference will be submitted for inclusion to IEEE Xplore.
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