• Corpus ID: 59703651

Distributed Real-Time Embedded Video Processing

@inproceedings{Lv2004DistributedRE,
  title={Distributed Real-Time Embedded Video Processing},
  author={Tiehan Lv and Wayne H. Wolf and Burak Ozer},
  year={2004}
}
Abstract : The embedded systems group at Princeton University is building a distributed system for real-time analysis of video from multiple cameras. Most work in multiple-camera video systems relies on centralized processing. However, performing video computations at a central server has several disadvantages: it introduces latency that reduces the response time of the video system; it increases the amount of buffer memory required; and it consumes network bandwidth. These problems cause… 

References

Smart Cameras as Embedded Systems

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