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dc.contributor.authorLe, Xuesong
dc.contributor.authorGonzalez, Ruben
dc.contributor.editorSiwei Ma
dc.date.accessioned2018-06-18T01:38:59Z
dc.date.available2018-06-18T01:38:59Z
dc.date.issued2017
dc.identifier.issn1522-4880
dc.identifier.doi10.1109/ICIP.2017.8296902
dc.identifier.urihttp://hdl.handle.net/10072/377059
dc.description.abstractUncertain motion of typical surveillance targets, e.g. slow moving or stopped, abrupt acceleration, and uniform motion makes a single salient motion detection algorithm unsuitable for accurate segmentation. It becomes even more challenging in case of the camera is non-stationary. In this paper, first, a simple local adaptive temporal differencing method is proposed to detect moving objects boundaries and partial interiors. To improve the accuracy of detection, a Bottom-up Variable Block Size block matching method is employed to identify the existence of possible moving object blocks and then an adaptive Kalman filter is applied to distinguish salient motions from other distracting motions. At last, the motion data from two algorithms are successfully fused to determine whether a region has been changed or not. Experimental results comparing the proposed and other competing methods are evaluated objectively and show that the proposed method achieves promising motion results for a variety of real environments.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencename24th IEEE International Conference on Image Processing (ICIP)
dc.relation.ispartofconferencetitle2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
dc.relation.ispartofdatefrom2017-09-17
dc.relation.ispartofdateto2017-09-20
dc.relation.ispartoflocationBeijing, PEOPLES R CHINA
dc.relation.ispartofpagefrom3345
dc.relation.ispartofpagefrom5 pages
dc.relation.ispartofpageto3349
dc.relation.ispartofpageto5 pages
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchcode460299
dc.titleHybrid salient motion detection using temporal differencing and Kalman filter tracking with non-stationary camera
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorGonzalez, Ruben
gro.griffith.authorLe, Xuesong


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    Contains papers delivered by Griffith authors at national and international conferences.

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