Journal's Facebook pageReal-time Implementation of Foreground Object Detection From a Moving Camera Using the ViBE Algorithm
- AGH University of Science and Technology
Krakow, Poland
{kryjak, komorkie, mago}@agh.edu.pl
Abstract
The article presents a real-time hardware implementation of a foreground object detection for a non-static camera setup. The system consists of two parts: the calculation of the displacement between two consecutive frames using a correlation based corner tracker and background generation method ViBE (Visual Background Extractor). The paper discusses details of the used hardware modules, resource utilization, computing performance and power dissipation. The solution was evaluated on sequences recorded with a static and moving camera. The system was successfully tested on a hardware platform with an FPGA device. It allows to process a 720x576 pixels and 50 frames per second video stream in real-time.
Key words
foreground detection, background generation, background modelling, ViBE, FPGA, real-time system, image processing, moving camera, background compensation
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS131218055K
Publication information
Volume 11, Issue 4 (October 2014)
Special Issue on Advances in Systems, Modeling, Languages and Agents
Year of Publication: 2014
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
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How to cite
Kryjak, T., Komorkiewicz, M., Gorgon, M.: Real-time Implementation of Foreground Object Detection From a Moving Camera Using the ViBE Algorithm. Computer Science and Information Systems, Vol. 11, No. 4, 1617–1637. (2014), https://doi.org/10.2298/CSIS131218055K
