Resource-efficient salient foreground detection for embedded smart cameras by tracking feedback

Mauricio Casares, Senem Velipasalar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Battery-powered wireless embedded smart cameras have limited processing power, memory and energy. Since video processing tasks consume significant amount of power, the problem of limited resources becomes even more pronounced, and necessitates designing light-weight algorithms suitable for embedded platforms. In this paper, we present a resource-efficient salient foreground detection and tracking algorithm. Contrary to traditional methods that implement foreground object detection and tracking independently and in a sequential manner, the proposed method uses the feedback from the tracking stage in the foreground object detection. We compare the proposed method with a sequential method on the microprocessor of an embedded smart camera, and present the savings in the processing time and energy consumption and the gain in the lifetime of a battery-powered camera for different scenarios. The presented method provides significant savings in terms of the processing time of a frame. We take advantage of these savings by sending the microprocessor to idle state at the end of processing a frame, and when the scene is empty.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010
PublisherIEEE Computer Society
Pages369-375
Number of pages7
ISBN (Print)9780769542645
DOIs
StatePublished - Jan 1 2010
Externally publishedYes
Event2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010 - Boston, MA, United States
Duration: Aug 29 2010Sep 1 2010

Publication series

NameProceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Conference

Conference2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010
CountryUnited States
CityBoston, MA
Period8/29/109/1/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Casares, M., & Velipasalar, S. (2010). Resource-efficient salient foreground detection for embedded smart cameras by tracking feedback. In Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010 (pp. 369-375). [5597109] (Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010). IEEE Computer Society. https://doi.org/10.1109/AVSS.2010.50