Paper
21 February 2007 Sensor for moving foreground detection: an address-event-based embedded system
Nenad Milosevic, Pete Schön
Author Affiliations +
Abstract
Detection of moving or novel objects appearing on transportation units is one of standard problems for industrial vision applications. Especially for real-time embedded applications in industrial environment constraints like low-cost and low-power require a proper trade-off between this critical design issues and robustness of the device. This paper presents an embedded system implementation of an algorithm for realtime extraction of moving objects based on focal-plane asynchronous processing of relative changes in pixel intensity using address-event representation (AER) protocol, and its implementation in form of low-cost, small size and low-power embedded system.
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Nenad Milosevic and Pete Schön "Sensor for moving foreground detection: an address-event-based embedded system", Proc. SPIE 6501, Sensors, Cameras, and Systems for Scientific/Industrial Applications VIII, 650114 (21 February 2007); https://doi.org/10.1117/12.703094
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KEYWORDS
Sensors

Imaging systems

Digital signal processing

Embedded systems

Image processing

Image sensors

Signal processing

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