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JURÁNEK, R. MUSIL, P. MUSIL, M. NOSKO, S. ZEMČÍK, P.
Original Title
Smart camera for traffic applications
Type
journal article in Web of Science
Language
English
Original Abstract
In this paper, we present a compact intelligent camera with traffic surveillance and enforcement as a primary application field. The unique features of the camera are 1/ embedded object detection of user defined objects and 2/ excellent image quality achieved by a custom HDR image acquisition and tone mapping. Intelligent cameras are important parts of equipment in production, control, security and especially traffic surveillance as well as enforcement. In many applications, they serve as a versatile source of images processed elsewhere and reduction of required processing and communication achieved by embedded (pre)processing within the intelligent camera is always welcome. The key blocks of the camera are implemented in FPGA to reduce the CPU load and thus also the power requirements. The control software uses an embedded CPU running Linux. The camera is designed to provide key images interesting from the application point of view and to provide metadata. On the camera prototype, we observed total power consumption of 8 W and object detection accuracy > 99 %. The camera design and functionality can be extensively modified to harness a wide variety of applications, such as traffic surveillance and enforcement, quality control, and others.
Keywords
smart camera, object detection, WaldBoost, ACF, HDR, tonemapping, traffic surveillance
Authors
JURÁNEK, R.; MUSIL, P.; MUSIL, M.; NOSKO, S.; ZEMČÍK, P.
Released
18. 7. 2023
ISBN
1939-8115
Periodical
Journal of Signal Processing Systems for Signal Image and Video Technology
Year of study
95
Number
9
State
United States of America
Pages from
1067
Pages to
1077
Pages count
11
URL
https://link.springer.com/article/10.1007/s11265-023-01843-1
BibTex
@article{BUT187991, author="Roman {Juránek} and Petr {Musil} and Martin {Musil} and Svetozár {Nosko} and Pavel {Zemčík}", title="Smart camera for traffic applications", journal="Journal of Signal Processing Systems for Signal Image and Video Technology", year="2023", volume="95", number="9", pages="1067--1077", doi="10.1007/s11265-023-01843-1", issn="1939-8115", url="https://link.springer.com/article/10.1007/s11265-023-01843-1" }