Human Tracking System from Video Based on Blob Analysis and Object Segmentation Method

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dc.contributor.authorChutiwan Boonarchatong
dc.contributor.authorMahasak Ketcham
dc.date.accessioned2025-03-10T07:36:31Z
dc.date.available2025-03-10T07:36:31Z
dc.date.issued2018
dc.description.abstractThe research aims to propose a method of video human tracking system. The methodology algorithms are compound with motion vector, optical flow, object segmentation, and Blob analysis. An experiment is set on two situations, which are difference places and difference distance between camera and backgrounds. The results display that the percentage of accuracy has 77.76% in difference 7 areas but the similar distance between camera and human. The other experiment shows that the best distance between camera and human is around 4-30 meters. Therefore, the system would work well when the camera set on the proper area and distance, between camera and human. Thus, the system would contribute to human behavior to suspend the crime with real-Time operating. � 2018 IEEE.
dc.identifier.citationISCIT 2018 - 18th International Symposium on Communication and Information Technology
dc.identifier.doi10.1109/ISCIT.2018.8587854
dc.identifier.isbn978-153868458-0
dc.identifier.scopus2-s2.0-85060983544
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4899
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.holderScopus
dc.subjectBlob Analysis
dc.subjectHuman Tracking
dc.subjectObject Segmentation
dc.subjectObject Subtraction
dc.subjectOptical Flow
dc.titleHuman Tracking System from Video Based on Blob Analysis and Object Segmentation Method
dc.typeConference paper
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060983544&doi=10.1109%2fISCIT.2018.8587854&partnerID=40&md5=9572e066c327bf076540c351f865036b
oaire.citation.endPage312
oaire.citation.startPage308
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