Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/14282
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYadav, Suman-
dc.date.accessioned2015-05-14T11:39:13Z-
dc.date.available2015-05-14T11:39:13Z-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/14282-
dc.description.abstractIn this project, a particle filter is implemented in a color model based framework to track the moving object in outdoor environment. firstly the initialisation of samples is done in first frame by drawing them randomly on the screen or drawing them based on the region where the object is expected to appear. Next the samples are predicted based on system model by propagating each sample based on this model. The samples are updated based on the observation model. In this report, we use color distribution of the object as the observation model. Then using the bhattacharya distance, the similarity between the color distribution of the target & the samples can be measured. Based on the bhattacharya distance weight of each sample is measured. The target state estimation is performed based on samples weight. The resampling is performed for the next sample iteration to generate a new sample set. During the resampling sample with a high weight are chosen leading to identical copies, while others with relatively low weights may be ignored & deleted.en_US
dc.description.sponsorshipMr. Rajesh Rohillaen_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-1157;-
dc.subjectColor Model Based Frameworken_US
dc.titleOBJECT TRACKING USING PARTICLE FILTERen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Electronics & Communication Engineering

Files in This Item:
File Description SizeFormat 
thesis.doc2.55 MBMicrosoft WordView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.