Computation Sourcing in Smart Surveillance Systems for Maximum Information Retrieval

Shuo Han Chen*, Zhen Yang Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the booming of artificial intelligence and the advance of embedded systems, smart surveillance systems can now deploy video analysis techniques, such as human detection and object classification, on surveillance cameras directly. Such an approach decentralizes the computation and allows elastic camera deployment without upgrading the centralized server. Nevertheless, taking human detection as an example, cameras at different locations could have very different numbers of people walking by at different times. This condition could make specific cameras run their detection tasks at the highest frame per second (FPS) but still lose information if FPS is lower than a certain value, while a small group of cameras has almost zero tasks, thus wasting valuable computation power. In addition, as the smart surveillance system grows, cameras deployed at different periods could have different specifications and computation capabilities; therefore, properly utilizing all the computation resources has become essential for smart surveillance systems. The aforementioned observations motivate this study to propose a novel computation souring method by following the concept of crowdsourcing to enable efficient resource sharing within smart surveillance systems and maximize the amount of retrieved information. Promising results have been demonstrated through a series of experiments with different smart cameras of different specifications.

Original languageEnglish
Title of host publication2023 9th International Conference on Applied System Innovation, ICASI 2023
EditorsShoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages175-177
Number of pages3
ISBN (Electronic)9798350398380
DOIs
StatePublished - 2023
Event9th International Conference on Applied System Innovation, ICASI 2023 - Chiba, Japan
Duration: 21 Apr 202325 Apr 2023

Publication series

Name2023 9th International Conference on Applied System Innovation, ICASI 2023

Conference

Conference9th International Conference on Applied System Innovation, ICASI 2023
Country/TerritoryJapan
CityChiba
Period21/04/2325/04/23

Keywords

  • camera
  • human detection
  • resource sharing
  • sourcing
  • surveillance

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