SCOPES: Smart Cameras Object Position Estimation System

  • Ankur Kamthe
  • Lun Jiang
  • Matthew Dudys
  • Alberto Cerpa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5432)


Wireless camera sensor networks have to balance the conflicting challenges imposed by the detection performance, latency and lifetime requirements in surveillance applications. While previous studies for camera sensor networks have addressed these issues separately, they have not quantified the trade-offs between these requirements. In this paper, we discuss the design and implementation of SCOPES, a distributed Smart Camera Object Position Estimation System that balances the trade-offs associated with camera sensor networks. The main contribution of the paper is the extensive evaluation of parameters affecting the performance of the system through analysis, simulation and experimentation in real-life conditions. Our results demonstrates the effectiveness of SCOPES, which achieves detection probabilities ranging from 84% to 98% and detection latencies from 10 seconds to 18 seconds. Moreover, by using coordination schemes, the detection performance of SCOPES was improved with increased system lifetime. SCOPES highlights that intelligent system design can compensate for resource-constrained hardware and computationally simple data processing algorithms.


Sensor Node Detection Probability Network Lifetime Object Detection Memory Usage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ankur Kamthe
    • 1
  • Lun Jiang
    • 1
  • Matthew Dudys
    • 1
  • Alberto Cerpa
    • 1
  1. 1.Electrical Engineering and Computer ScienceUniversity of CaliforniaMercedUSA

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