Resolution enhancement of ROI from surveillance video using Bernstein interpolation

Minjae Kim, Hanseok Ko

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

3 Citations (Scopus)

Abstract

In visual surveillance system, a small region-of-interest (ROI) is in most cases set for the target to detect, track, and recognize. In this paper, we propose novel image restoration algorithm using stochastic data regularization (i.e. Bernstein interpolation) in real world surveillance video. We firstly demonstrate the capability of Bernstein function for image enhancement technique such as denoising or deblurring. In addition, a promising approach for Super Resolution algorithm via Bernstein interpolation is also proposed. Representative experimental results prove the effectiveness of the proposed method for ROI from synthetic and real image sequences.

Original languageEnglish
Title of host publication2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Pages331-336
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011 - Klagenfurt, Austria
Duration: 2011 Aug 302011 Sep 2

Publication series

Name2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011

Other

Other2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
CountryAustria
CityKlagenfurt
Period11/8/3011/9/2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Kim, M., & Ko, H. (2011). Resolution enhancement of ROI from surveillance video using Bernstein interpolation. In 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011 (pp. 331-336). [6027346] (2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011). https://doi.org/10.1109/AVSS.2011.6027346