Szczegóły publikacji

Opis bibliograficzny

Vision-based detection of events using line-scan camera / Mirosław JABŁOŃSKI, Ryszard TADEUSIEWICZ // W: EBCCSP 2016 [Dokument elektroniczny] : [second] international conference on Event-Based Control, Communication and Signal Processing : 13–15 June 2016, Krakow, Poland. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : Institute of Electrical and Electronics Engineers, cop. 2016. — Dysk Flash. — W bazie Web of Science ISBN: 978-1-5090-4196-1. — e-ISBN: 978-1-5090-4195-4. — S. [1–3] ID 64. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [3], Abstr.

Autorzy (2)

Słowa kluczowe

line-scan cameramachine visionGaussian Mixture Modelimage processingevent detection

Dane bibliometryczne

ID BaDAP101215
Data dodania do BaDAP2016-10-17
DOI10.1109/EBCCSP.2016.7605275
Rok publikacji2016
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Konferencja2nd International Conference on Event-Based Control, Communication, and Signal Processing

Abstract

Vision-based method of event detection for control algorithm of acorn scarification device has been presented in the paper. Instead of frame-based approach, line-scan mode of digital camera has been used. The advantage of this approach is an improved temporal resolution of machine-vision-based event detector and reduced latency as the line-acquisition time is significantly lower than the acquisition time of a frame of 2D image. Segmentation of objects moving in front of the camera is one of the steps of the detection. Usage of two alternative methods of segmentation have been reported in the article: Sum of Absolute Differences and motion detection by means of adaptive Gaussian Mixture Model. Motion signal is then a subject of event detection.

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