Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm | Zendy

Tomasz Kryjak | Zendy; Mateusz Komorkiewicz | Zendy; M. Gorgoń | Zendy

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Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm

Author(s) -

Tomasz Kryjak,

Mateusz Komorkiewicz,

M. Gorgoń

Publication year - 2014

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis131218055k

Subject(s) - computer science , computer vision , field programmable gate array , artificial intelligence , process (computing) , pixel , object detection , frame rate , computer graphics (images) , algorithm , computer hardware , pattern recognition (psychology) , operating system

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.

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