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dc.contributor.authorHidayah, Rahmalan
dc.contributor.authorNanna Suryana
dc.contributor.authorNor Azman, Abu
dc.date.accessioned2010-08-11T02:55:10Z
dc.date.available2010-08-11T02:55:10Z
dc.date.issued2009-06-20
dc.identifier.citationp.98-103en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8538
dc.descriptionMUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.en_US
dc.description.abstractDetecting the movement of crowd is one of an important task in monitoring crowd. The movement of crowd can be used to understand the behaviour of the crowd and this can help any surveillance application to maintain the safety environment for crowd, especially in a public area. There are two ways to measure the movement such as using shape- based or motionbased techniques. This is because when there are changes in the object’s movement, human effectively perceive the object’s shape and motion. Nevertheless, using the shape-based technique is preferred since both moving and stationary pedestrians can be recognized. In this paper, a general way on measuring the movement is proposed. A new definition of crowd movement patterns which are no movement, nonrandom movement and random movement is introduced. The shape-based technique utilizing invariant moments will be explored for detecting the movement of crowd.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Pahang (UMP)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009en_US
dc.subjectCrowd analysisen_US
dc.subjectCrowd movementen_US
dc.subjectShape-based techniquesen_US
dc.subjectMovement invariantsen_US
dc.subjectMUCEETen_US
dc.subjectMalaysian Technical Universities Conference on Engineering and Technologyen_US
dc.titleA general approach for measuring crowd movementen_US
dc.typeWorking Paperen_US


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