Local spatio-temporal propagation based adaptive model generation and update for high frame rate and ultra-low delay foreground detection

Peikun Cai, Songlin Du, Takeshi Ikenaga

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

Abstract

High frame rate and ultra-low delay matching system plays an increasingly important role in human-machine interactive applications, which demands better experience and higher accuracy. Foreground detection is an indispensable preprocessing step to make the system suitable for complex scenes. Although many foreground detection algorithms have been proposed, few can achieve high speed in hardware due to their high complexity or high consumption. Based on the foreground detection algorithm ViBe, this paper proposes a local spatio-temporal propagation based adaptive model generation and update strategy for high frame rate and ultra-low delay foreground detection. Our algorithm predicts whether a region is a foreground by setting up detecting points, thereby adaptively adjusting the number of pixels that needs to be modeled. Secondly, the local linear illumination correlation is used to update models, which makes the algorithm more robust to illumination changes. The evaluation results show that the proposed algorithm successfully achieves real-time processing on the field-programmable gate array (FPGA) at a resolution of mathbf{640}timesmathbf{480} pixels, with a delay of 0.908ms/frame.

Original languageEnglish
Title of host publication2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728144030
DOIs
Publication statusPublished - 2020 Aug
Event26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020 - Virtual, Gangnueng, Korea, Republic of
Duration: 2020 Aug 192020 Aug 21

Publication series

Name2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020

Conference

Conference26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
CountryKorea, Republic of
CityVirtual, Gangnueng
Period20/8/1920/8/21

Keywords

  • Field-programmable gate array
  • Foreground detection
  • High frame rate
  • Real-time processing
  • Ultra-low delay

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management

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