Open AccessTracking Pedestrians based on Patch Matching
Author(s) -
Seyed Masoud Jamshidi,
Sassan Azadi
Publication year - 2016
Publication title -
bulletin de la société royale des sciences de liège
Language(s) - English
Resource type - Journals
ISSN - 1783-5720
DOI - 10.25518/0037-9565.5977
Subject(s) - computer vision , bhattacharyya distance , artificial intelligence , computer science , track (disk drive) , background subtraction , matching (statistics) , tracking (education) , histogram , displacement (psychology) , pixel , mathematics , image (mathematics) , statistics , psychology , pedagogy , psychotherapist , operating system
One of the challenging issues in machine vision over the last decade involves how to track people in consecutive video frames. Nowadays, scholars are greatly interested in tracking people in videos due to a need to track moving objects. In this paper we track pedestrians through the Dollár’s detection technique combined with patch matching from detected objects. At this stage, the patches are matched separately through Bhattacharyya’s method in order to increase the tracking precision. We use color histogram with background subtraction. Desirable results are obtained in estimating displacement and patch search space through the combination of displacement vectors with the detection results from weighted vector median filter (WVMF). Our new technique indicates that we were able to track pedestrians more accuracy.