Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6802
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dc.contributor.authorKristan, Matej-
dc.contributor.authorPflugfelder, Roman-
dc.contributor.authorLeonardis, Ales-
dc.contributor.authorMatas, Jiri-
dc.contributor.authorPorikli, Fatih-
dc.contributor.authorCehovin, Luka-
dc.contributor.authorNebehay, Georg-
dc.contributor.authorFernandez, Gustavo-
dc.contributor.authorVojir, Tomas-
dc.contributor.authorGatt, Adam-
dc.contributor.authorKhajenezhad, Ahmad-
dc.contributor.authorSalahledin, Ahmed-
dc.contributor.authorSoltani-Farani, Ali-
dc.contributor.authorZarezade, Ali-
dc.contributor.authorPetrosino, Alfredo-
dc.contributor.authorMilton, Anthony-
dc.contributor.authorBozorgtabar, Behzad-
dc.contributor.authorLi, Bo-
dc.contributor.authorChan, Chee Seng-
dc.contributor.authorHeng, Cher Keng-
dc.contributor.authorWard, Dale-
dc.contributor.authorKearney, David-
dc.contributor.authorMonekosso, Dorothy-
dc.contributor.authorKaraimer, Hakkı Can-
dc.contributor.authorRabiee, Hamid R.-
dc.contributor.authorZhu, Jianke-
dc.contributor.authorGao, Jin-
dc.contributor.authorXiao, Jingjing-
dc.contributor.authorZhang, Junge-
dc.contributor.authorXing, Junliang-
dc.contributor.authorHuang, Kaiqi-
dc.contributor.authorLebeda, Karel-
dc.contributor.authorCao, Lijun-
dc.contributor.authorMaresca, Mario Edoardo-
dc.contributor.authorLim, Mei Kuan-
dc.contributor.authorEl Helw, Mohamed-
dc.contributor.authorFelsberg, Michael-
dc.contributor.authorRemagnino, Paolo-
dc.contributor.authorBowden, Richard-
dc.contributor.authorGoecke, Roland-
dc.contributor.authorStolkin, Rustam-
dc.contributor.authorLim, Samantha YueYing-
dc.contributor.authorMaher, Sara-
dc.contributor.authorPoullot, Sebastien-
dc.contributor.authorWong, Sebastien-
dc.contributor.authorSatoh, Shin’ichi-
dc.contributor.authorChen, Weihua-
dc.contributor.authorHu, Weiming-
dc.contributor.authorZhang, Xiaoqin-
dc.contributor.authorLi, Yang-
dc.contributor.authorZhi Heng, Niu-
dc.date.accessioned2018-02-19T08:43:00Z-
dc.date.available2018-02-19T08:43:00Z-
dc.date.issued2013-
dc.identifier.isbn978-1-4799-3022-7-
dc.identifier.urihttp://doi.org/10.1109/ICCVW.2013.20-
dc.identifier.urihttp://hdl.handle.net/11147/6802-
dc.description2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013; Sydney, NSW; Australia; 1 December 2013 through 8 December 2013en_US
dc.description.abstractVisual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of different tracking methods. To address this issue, the Visual Object Tracking (VOT) workshop was organized in conjunction with ICCV2013. Researchers from academia as well as industry were invited to participate in the first VOT2013 challenge which aimed at single-object visual trackers that do not apply pre-learned models of object appearance (model-free). Presented here is the VOT2013 benchmark dataset for evaluation of single-object visual trackers as well as the results obtained by the trackers competing in the challenge. In contrast to related attempts in tracker benchmarking, the dataset is labeled per-frame by visual attributes that indicate occlusion, illumination change, motion change, size change and camera motion, offering a more systematic comparison of the trackers. Furthermore, we have designed an automated system for performing and evaluating the experiments. We present the evaluation protocol of the VOT2013 challenge and the results of a comparison of 27 trackers on the benchmark dataset. The dataset, the evaluation tools and the tracker rankings are publicly available from the challenge website (http://votchallenge. net).en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2013 14th IEEE International Conference on Computer Vision Workshopsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVisual object tracking challengeen_US
dc.subjectVOT2013en_US
dc.subjectObject appearanceen_US
dc.titleThe visual object tracking VOT2013 challenge resultsen_US
dc.typeConference Objecten_US
dc.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.startpage98en_US
dc.identifier.endpage111en_US
dc.identifier.wosWOS:000349847200015
dc.identifier.scopusSCOPUS:2-s2.0-84897510119
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/ICCVW.2013.20-
dc.relation.doi10.1109/ICCVW.2013.20en_US
dc.coverage.doi10.1109/ICCVW.2013.20en_US
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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