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Pregled bibliografske jedinice broj: 485488

Streamlining collection of training samples for object detection and classification in video


Bulović, Ana; Bučar, Damir; Palašek, Petar; Popović, Bojan; Trbojević, Ante; Zadrija, Lucija; Kusalić, Ivan; Brkić, Karla; Kalafatić, Zoran; Šegvić, Siniša
Streamlining collection of training samples for object detection and classification in video // Proceedings of the 33rd international convention of information and communication technology, electronics and microelectronics (MIPRO 2010) / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010. str. 215-220 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 485488 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Streamlining collection of training samples for object detection and classification in video

Autori
Bulović, Ana ; Bučar, Damir ; Palašek, Petar ; Popović, Bojan ; Trbojević, Ante ; Zadrija, Lucija ; Kusalić, Ivan ; Brkić, Karla ; Kalafatić, Zoran ; Šegvić, Siniša

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 33rd international convention of information and communication technology, electronics and microelectronics (MIPRO 2010) / Bogunović, Nikola ; Ribarić, Slobodan - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010, 215-220

ISBN
978-953-233-053-3

Skup
The 33rd international convention of information and communication technology, electronics and microelectronics (MIPRO 2010)

Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer vision

Sažetak
This paper is concerned with object recognition and detection in computer vision. Many promising approaches in the field exploit the knowledge contained in a collection of manually annotated training samples. In the resulting paradigm, the recognition algorithm is automatically constructed by some machine learning technique. It has been shown that the quantity and quality of positive and negative training samples is critical for good performance of such approaches. However, collecting the samples requires tedious manual effort which is expensive in time and prone to error. In this paper we present design and implementation of a software system which addresses these problems. The system supports an iterative approach whereby the current state-of- the-art detection and recognition algorithms are used to streamline the collection of additional training samples. The presented experiments have been performed in the frame of a research project aiming at automatic detection and recognition of traffic signs in video.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Karla Brkić (autor)

Avatar Url Zoran Kalafatić (autor)

Avatar Url Siniša Šegvić (autor)


Citiraj ovu publikaciju:

Bulović, Ana; Bučar, Damir; Palašek, Petar; Popović, Bojan; Trbojević, Ante; Zadrija, Lucija; Kusalić, Ivan; Brkić, Karla; Kalafatić, Zoran; Šegvić, Siniša
Streamlining collection of training samples for object detection and classification in video // Proceedings of the 33rd international convention of information and communication technology, electronics and microelectronics (MIPRO 2010) / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010. str. 215-220 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bulović, A., Bučar, D., Palašek, P., Popović, B., Trbojević, A., Zadrija, L., Kusalić, I., Brkić, K., Kalafatić, Z. & Šegvić, S. (2010) Streamlining collection of training samples for object detection and classification in video. U: Bogunović, N. & Ribarić, S. (ur.)Proceedings of the 33rd international convention of information and communication technology, electronics and microelectronics (MIPRO 2010).
@article{article, author = {Bulovi\'{c}, Ana and Bu\v{c}ar, Damir and Pala\v{s}ek, Petar and Popovi\'{c}, Bojan and Trbojevi\'{c}, Ante and Zadrija, Lucija and Kusali\'{c}, Ivan and Brki\'{c}, Karla and Kalafati\'{c}, Zoran and \v{S}egvi\'{c}, Sini\v{s}a}, year = {2010}, pages = {215-220}, keywords = {computer vision}, isbn = {978-953-233-053-3}, title = {Streamlining collection of training samples for object detection and classification in video}, keyword = {computer vision}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Bulovi\'{c}, Ana and Bu\v{c}ar, Damir and Pala\v{s}ek, Petar and Popovi\'{c}, Bojan and Trbojevi\'{c}, Ante and Zadrija, Lucija and Kusali\'{c}, Ivan and Brki\'{c}, Karla and Kalafati\'{c}, Zoran and \v{S}egvi\'{c}, Sini\v{s}a}, year = {2010}, pages = {215-220}, keywords = {computer vision}, isbn = {978-953-233-053-3}, title = {Streamlining collection of training samples for object detection and classification in video}, keyword = {computer vision}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }




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