Show simple item record

dc.contributor.authorLao, Dong
dc.contributor.authorSundaramoorthi, Ganesh
dc.date.accessioned2018-01-15T12:34:16Z
dc.date.available2018-01-15T12:34:16Z
dc.date.issued2017-11-09
dc.identifier.citationLao D, Sundaramoorthi G (2017) Minimum Delay Moving Object Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Available: http://dx.doi.org/10.1109/cvpr.2017.511.
dc.identifier.doi10.1109/cvpr.2017.511
dc.identifier.urihttp://hdl.handle.net/10754/626820
dc.description.abstractWe present a general framework and method for detection of an object in a video based on apparent motion. The object moves relative to background motion at some unknown time in the video, and the goal is to detect and segment the object as soon it moves in an online manner. Due to unreliability of motion between frames, more than two frames are needed to reliably detect the object. Our method is designed to detect the object(s) with minimum delay, i.e., frames after the object moves, constraining the false alarms. Experiments on a new extensive dataset for moving object detection show that our method achieves less delay for all false alarm constraints than existing state-of-the-art.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8099994/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleMinimum Delay Moving Object Detection
dc.typeConference Paper
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journal2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
dc.conference.dateJUL 21-26, 2016
dc.conference.name30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.conference.locationHonolulu, HI
dc.eprint.versionPost-print
kaust.personLao, Dong
kaust.personSundaramoorthi, Ganesh
refterms.dateFOA2018-06-13T19:21:08Z
dc.date.published-online2017-11-09
dc.date.published-print2017-07


Files in this item

Thumbnail
Name:
Lao_Minimum_Delay_Moving_CVPR_2017_paper.pdf
Size:
17.67Mb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record