{"id":80,"date":"2023-09-22T22:02:14","date_gmt":"2023-09-22T20:02:14","guid":{"rendered":"https:\/\/ivujovic.pfst.hr\/?page_id=80"},"modified":"2023-11-13T08:44:21","modified_gmt":"2023-11-13T06:44:21","slug":"erdbsiwcmvs_webpage","status":"publish","type":"page","link":"https:\/\/ivujovic.pfst.hr\/index.php\/erdbsiwcmvs_webpage\/","title":{"rendered":"ERDBSIWCMVS_webpage"},"content":{"rendered":"\n
Ime projekta:<\/strong> Uspostava referalne baze za istra\u017eivanje utjecaja vremenskih prilika na video nadzor u pomorskom prometu
Project’s name:<\/strong> Establishment of reference database for studying the influence of weather conditions on marine video surveillance
Akronim \/ acronym:<\/strong> ERDBSIWCMVS Broj\/No.: 2673.\/2017.
Vrijeme \/ duration: 9.3.2018-9.3.2022.
\u0160ifra projekta\/Projct code: pfst-2018-03
https:\/\/croris.hr\/projekti\/projekt\/5997<\/a>  <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Voditelj projekta \/ Project manager:<\/strong> Igor Vujovi\u0107<\/td><\/tr>
Tim\/Team:
Izv. prof. dr.sc. Igor Vujovi\u0107 (Associate professor)
Prof. dr. sc. Danko Kezi\u0107 (Full professor tenure)
Izv. prof. dr. sc. Tatjana Stanivuk (Associate professor)
Mr. sc. Ivica Kuzmani\u0107 (permanent college professor)
Doktorandi:
Vladimir Brozovi\u0107 (mentor\/supervisor prof. dr. sc. D. Kezi\u0107), Bruna Bacelja (mentor\/supervisor izv. prof. dr. sc. M. Kr\u010dum), Miro Petkovi\u0107 (mentor\/supervisor izv.porf. dr. sc. Igor Vujovi\u0107)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

U svijetu postoje referalne baze za prepoznavanje lica, gestikulacija, pokretnih objekata u stati\u010dkim scenama, itd. Ne postoji referalna baza za usporedbu rada algoritama u obradi video signala u razli\u010ditim vremenskim prilikama na istoj sceni. Napredak u istra\u017eivanju nadzora prometa u razli\u010ditim vremenskim uvjetima pridonijet \u0107e sigurnosti prometa na kopnu i na vodenim povr\u0161inama.  Detekcija prelaska sektorskih granica bit \u0107e olak\u0161ana uspostavom ove baze. Uporaba video nadzora iznimno je slo\u017eena nad vodenim masama, jer postoji niz dodatnih problema koji se ne javljaju u klasi\u010dnim nadzornim aplikacijama (detekcija linije horizonta, valovi, maskiranje brzog broda valovima, pjena i kapljice vode, refleksija sun\u010devog svjetla o vodenu masu, itd.). <\/p>\n\n\n\n

There are many referral databases (or datasets) for many purposes in the world, such as for face recognition, gestures, moving objects in static scenes, etc. However, there is no such dataset or base for algorithm performance comparison in video processing, which deals with various weather conditions in the same scene. Advancement in the research of traffic monitoring under various weather conditions will contribute to the traffic safety both on and off shore. Sector borders crossing detection will be easier by the help of this dataset. Video surveillance is especially difficult over great water areas, because there are a lot of additional problems which are specific for maritime zones, and not for land applications (horizon line detection, waves, masking of fast moving object with waves and foam, sea water droplets, sun reflection from the water mass, etc).<\/p>\n\n\n\n

Gospodarski subjekti uklju\u010deni u projekt \/ <\/strong>Corporation out of university community<\/strong>: Tech Resources d.o.o.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Cilj projekta je stvoriti preduvjete za uspostavu referentne baze te po\u010detak uspostave takve baze. Uspostava jednog dostupnog skupa podataka omogu\u0107it \u0107e znanstvenicima pristup problemu utjecaja vremenskih prilika na segmentaciju kretnji u vodenom okoli\u0161u s vi\u0161om razinom sistematizacije problema.<\/p>\n\n\n\n

\u017delja je da znanstvenici mogu slobodno koristiti ove podatke kako bi mogli razvijati svoje algoritme video nadzora i uspore\u0111ivati rezultate s drugim znanstvenicima, koji imaju druga\u010dije algoritme, a proizvoljne dvije video sekvence se ne mogu uspore\u0111ivati. Stoga se uspostavom ovakvog skupa podataka ujedna\u010davaju kriteriji za usporedbu rada razli\u010ditih algoritama koje razvijaju drugi znanstvenici neovisno o zemljopisnom polo\u017eaju.<\/p>\n\n\n\n

The goal of the project is to create a framework for establishment of permanent referent dataset and to start establishing it. Establishment of one available dataset will enable scientists to approach to the complex problem of weather conditions influence to the motion segmentation in maritime zones with higher level of systematization and validation. It is the wish that researches can freely use these dana to develop algorithms in video surveillance field and to compare it with other researches. This project will contribute to equalization of criteria for different algorithms performance comparison no matter where there are around the globe.<\/p>\n\n\n\n

Studenti Fakulteta uklju\u010deni u projekt \/ <\/strong>Students involved in the project<\/strong>:<\/strong><\/p>\n\n\n\n

Martina Bradari\u0107, Matea \u010covi\u0107, Bruno Eterovi\u0107, Nikola \u0160imunovi\u0107, Vlado \u0160u\u0161njar.<\/p>\n\n\n\n

Doktorandi koji rade na projektu \/ PhD candidates working on the project:<\/strong> Miro Petkovi\u0107, Vladimir Brozovi\u0107, Bruna Bacelja<\/p>\n\n\n\n

Referalan baza \u2013 skidanje podataka \/ <\/strong>Benchmark dataset – downloads<\/strong>:<\/p>\n\n\n\n

Snimljeni video \/ Recorded videos: obla\u010dno \/ cloudy<\/a>, sun\u010dano \/sunny<\/a>, snje\u017eno \/ snowing<\/a> vrijeme \/ weather.<\/p>\n\n\n\n

Matlab session in Ground truth labeler<\/a> with human manual segmentation<\/em><\/strong> of recorded videos.<\/p>\n\n\n\n

Explanations:<\/p>\n\n\n\n

groundTruthLabelingSession_oblacno_ploce.mat \u2013 session for cloudy weather<\/p>\n\n\n\n

groundTruthLabelingSession_snije_dotjerivanje.mat \u2013 session for snowing weather<\/p>\n\n\n\n

groundTruthLabelingSession_suncano_ploce.mat \u2013 session for sunny weather<\/p>\n\n\n\n

You will also need to load labels for cloudy<\/a>, snowing<\/a> and\/or sunny<\/a> weather.<\/p>\n\n\n\n

Comparison of ground truth determination by three human operators in the same sequence. Txt files contain results of the corresponding jpg files: link to DABAR archive<\/a>.<\/p>\n\n\n\n

Split port zone traffic at different weather conditions \u2013 jpg files in zip: 1st<\/sup> part<\/a>, 2nd<\/sup> part<\/a>.<\/p>\n\n\n\n

Diplomski radovi iz projekta \/ Diploma\/Master thesis from project:<\/strong>
1. B. E., Prepoznavanje uzoraka iz snimki nadzornog sustava u programskom paketu Labview \/ Pattern recognition from video surveillance system in Labview, 28. 3. 2018.
2. N. \u0160., Izdvajanje zna\u010dajki video signala s ciljem upravljanja kretanjem na zadanoj stazi \/ Feature extraction from video signal with goal of moving in desired lane, 17.7.2019. Resulting videos (output of the lane detection algorithm): video 1<\/a>, video 2<\/a>.
3. V. \u0160., Prou\u010davanje vidljivosti pomorskih pokretnih objekata u razli\u010ditim vremenskim uvjetima \/ Marine traffic visibility in various weather conditions, 30.9.2019.
4. M. B., Video nadzorni sustavi u pomorskom prometu \/ Video surveillance system sin maritime traffic, 30.9.2019.
5. A. L., Semanti\u010dka segmentacija kretanja uporabom konvolucijskih neuronskih mre\u017ea, 29.9.2020.  <\/td><\/tr>
P<\/a>ublished papers<\/a><\/td><\/tr>
Presentation at the ACE-X 2021 conference<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Nabavljena oprema iz projekta \/ Equipment obtained during the project:<\/p>\n\n\n\n

    \n
  • SSD Samsung 850 EVO Basic 2.5″ 250 GB, MZ-75E250B + dostava x7<\/li>\n\n\n\n
  • SSD 500.0 GB SAMSUNG 850 EVO Basic, MZ-75E500B, SATA 3, 2.5″, 540\/520 MB\/s<\/li>\n\n\n\n
  • Ladica za disk ICY BOX IB-AC649a, SATA 2.5″, za monta\u017eu HDD \/ SSD umjesto optike, 5-9.5 mm<\/li>\n\n\n\n
  • Digitalna kamera GOPRO HERO7 (Black, 4K60, 12 Mpixela + HDR, Touchscreen, Voice Control, 3 Axis, GPS)<\/li>\n\n\n\n
  • Kamera bez le\u0107a u s pripadaju\u0107im USB kabelom i dostavom Lensless camera) MQ022CG-CM s pripadaju\u0107im USB kabelom CBL-U3-3M0 i dostavom<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

    Ime projekta: Uspostava referalne baze za istra\u017eivanje utjecaja vremenskih prilika na video nadzor u pomorskom prometu Project’s name: Establishment of reference database for studying the influence of weather conditions on marine video surveillance Akronim \/ acronym: ERDBSIWCMVS Broj\/No.: 2673.\/2017. Vrijeme \/ duration: 9.3.2018-9.3.2022. \u0160ifra projekta\/Projct code: pfst-2018-03 https:\/\/croris.hr\/projekti\/projekt\/5997   Voditelj projekta \/ Project manager: Igor […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-80","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/pages\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":10,"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/pages\/80\/revisions"}],"predecessor-version":[{"id":177,"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/pages\/80\/revisions\/177"}],"wp:attachment":[{"href":"https:\/\/ivujovic.pfst.hr\/index.php\/wp-json\/wp\/v2\/media?parent=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}