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dc.contributor.author Lim, Young-Chul ko
dc.contributor.author Lee, Chung-Hee ko
dc.contributor.author Kwon, Soon ko
dc.contributor.author Lee, Jong-hun ko
dc.date.available 2017-07-11T08:12:23Z -
dc.date.created 2017-05-08 -
dc.date.issued 2010 -
dc.identifier.citation 2010 IEEE Intelligent Vehicles Symposium, IV 2010, pp.301 - 306 -
dc.identifier.isbn 9780000000000 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3942 -
dc.description.abstract In this paper, we present a method to track multiple moving vehicles using the global nearest neighborhood (GNN) data association (DA) based on 2D global position and virtual detection based on motion tracking. Unlikely the single target tracking, multiple target tracking needs to associate observation-to-track pairs. DA is a process to determine which measurements are used to update each track. We use the GNN data association not to lost track and not to connect incorrect measurements. GNN is a simple, robust, and optimal technique for intelligent vehicle applications with a stereo vision system that can reliably estimates the position of a vehicle. However, an incomplete detection and recognition technique bring low track maintenance due to missed detections and false alarms. A complementary virtual detection method adds to GNN method. Virtual detection is used to recover the missed detection by motion tracking when the track maintains for some periods. Motion tracking estimates virtual region of interest (ROI) of the missed detection using a pyramidal Lukas-Kanade feature tracker. Next, GNN associates the lost tracks and virtual measurements if the measurement exists in the validation gate. Our experimental results show that our tracking method works well in a stereo vision system with incomplete detection and recognition ability. ©2010 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title A fusion method of data association and virtual detection for minimizing track loss and false track -
dc.type Conference -
dc.identifier.doi 10.1109/IVS.2010.5548084 -
dc.identifier.scopusid 2-s2.0-77956498393 -
dc.type.rims CONF -
dc.identifier.citationStartPage 301 -
dc.identifier.citationEndPage 306 -
dc.identifier.citationTitle 2010 IEEE Intelligent Vehicles Symposium, IV 2010 -
dc.type.journalArticle Conference Paper -
dc.identifier.conferencecountry US -
dc.identifier.conferencelocation La Jolla, CA -
dc.contributor.affiliatedAuthor Lim, Young-Chul -
dc.contributor.affiliatedAuthor Lee, Chung-Hee -
dc.contributor.affiliatedAuthor Kwon, Soon -
dc.contributor.affiliatedAuthor Lee, Jong-hun -

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