Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2297
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherWong, C.-C.-
dc.contributor.otherBarnes, S.-
dc.contributor.otherJennings, P.-
dc.contributor.otherFong, B.-
dc.date.accessioned2022-02-16T07:21:07Z-
dc.date.available2022-02-16T07:21:07Z-
dc.date.issued2016-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2297-
dc.description.abstractThis paper presents a new motion vector based moving object detection system for use in Advanced Driver Assistance Systems. By the shared-use of motion vectors with a video encoder, the computational cost for motion estimation using optical flow method can be saved, making the system more cost effective. Moving objects are detected by evaluating the planar parallax residuals of macroblocks in the video. The proposed algorithm involves newly proposed "APD" constraints on hypothesis generation and template matching in hypothesis verification. Test results show that moving objects can be detected effectively in scenarios that pose danger to the ego vehicle.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleShared-use motion vector algorithm for moving objects detection for automobilesen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of 2016 IEEE International Conference on Consumer Electronics (ICCE)en_US
dc.identifier.doi10.1109/ICCE.2016.7430632-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781467383653en_US
dc.description.startpage327en_US
dc.description.endpage328en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeconference proceedings-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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