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undergraduate thesis
Detekcija prometnih znakova heterogenom kaskadom klasifikatora
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:421606
Čačković, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čačković, K. (2014). Detekcija prometnih znakova heterogenom kaskadom klasifikatora (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:421606

Čačković, Karlo. "Detekcija prometnih znakova heterogenom kaskadom klasifikatora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:421606

Čačković, Karlo. "Detekcija prometnih znakova heterogenom kaskadom klasifikatora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:421606

Čačković, K. (2014). 'Detekcija prometnih znakova heterogenom kaskadom klasifikatora', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:421606

Čačković K. Detekcija prometnih znakova heterogenom kaskadom klasifikatora [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:421606

K. Čačković, "Detekcija prometnih znakova heterogenom kaskadom klasifikatora", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:421606

Metadata
TitleDetekcija prometnih znakova heterogenom kaskadom klasifikatora
Title (english)Traffic sign detection using heterogeneous classifier cascade
AuthorKarlo Čačković
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberAlan Jović (član povjerenstva)
Committee memberZvonimir Pavlić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog završnog rada je ostvariti sustav za detekciju prometnih znakova heterogenom kaskadom klasifikatora u video zapisima snimljenim iz vozila u pokretu. Takav klasifikator sastoji se od kaskadnog klasifikatora kliznim prozorom temeljenog na Haarovim značajkama te od klasifikatora strojem s potpornim vektorima temeljenog na histogramima orijentiranih gradijenata. Koncept takvog sustava je detekcija kaskadnim klasifikatorom te moguće prometne znakove predati dodatnom stupnju heterogene kaskade koji odredi je li unutar kliznog prozora prometni znak ili nije te označi detektirani znak na video zapisu. Sustav je testiran na javno dostupnom skupu slika i stopa ispravne detekcije je 83,125%. Problem predstavlja brzina detekcije pa ovako implementiran sustav nije pogodan za real-time detekciju u video zapisima, te velik broj neispravnih detekcija.
Abstract (english)
The subject of this BSc thesis is to implement a program for traffic sign detection using heterogeneous classifier cascade. The input data for this system are video sequences recorded from a moving vehicle. This classifier consists of a sliding window cascade classifier based on Haar – like features and an additional classifier with support vector machines based on histograms of oriented gradients. The concept of such a program is detecting traffic signs with cascade classifier and forwarding the candidates to an additional stage of heterogeneous classifier cascade. This additional stage detemines whether sliding window contains a traffic sign or not. The program has been tested on a publicly available set of images. The percentage of correct detection is 83,125%. Problem is the detection speed and such a program isn't good for real-time detection in video sequences. Additional problem is high number of false positive detection.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:421606
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-05 17:28:37