Publication Details
Smart camera for traffic applications
Musil Petr, Ing., Ph.D. (DCGM)
Musil Martin, Ing., Ph.D. (DCGM)
Nosko Svetozár, Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
smart camera, object detection, WaldBoost, ACF, HDR, tonemapping, traffic
surveillance
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.
@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"
}