SMART CAMERA WITH EMBEDDED TRACKING ALGORITHM

Real-time image processing is a powerful tool to extract useful information from a dynamic environment (obstacle detection, path following, etc.). However, low-level image processing deals with big amounts of data and intensive computations, and may constitute an undesirable time consuming task for...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 40; no. 15; pp. 155 - 160
Main Authors Dias, Fabio, Berry, François, Sérot, Jocelyn, Marmoiton, François
Format Journal Article
LanguageEnglish
Published Elsevier 2007
Subjects
cameras
Computer Science
Computer Vision and Pattern Recognition
embedded systems
hardware
Hardware Architecture
image processing
Image sensors
tracking applications
Image sensors
image processing
cameras
tracking applications
embedded systems
hardware
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Summary:Real-time image processing is a powerful tool to extract useful information from a dynamic environment (obstacle detection, path following, etc.). However, low-level image processing deals with big amounts of data and intensive computations, and may constitute an undesirable time consuming task for realtime systems. Smart cameras can solve it by using embedded processing resources to achieve low-level vision tasks, before data transmission to the host system. In this paper, a FPGA-based smart camera is presented, and an embedded tracking algorithm is shown as an application example.
ISSN:1474-6670
2589-3653
DOI:10.3182/20070903-3-FR-2921.00029