Image bit-planes representation for moving object detection in real-time video surveillance

Chih Yang Lin, Zhi Yao Jian, Wei Yang Lin

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

10 Scopus citations

Abstract

In video surveillance, moving object detection has become one of the core techniques to understand video content. Many detection methods exist to detect objects, but cannot effectively compensate for the effect of shadows or incomplete shapes of moving objects. In this paper, we apply image bit-planes and hysteresis thresholding to compensate for the loss of spatial and temporal information. The experimental results show that the proposed method is valid and suitable for real-time systems.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
StatePublished - 25 Jul 2016
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 27 May 201630 May 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Country/TerritoryTaiwan
CityNantou County
Period27/05/1630/05/16

Keywords

  • hysteresis thresholding
  • image bit-plane
  • motion compensation
  • video surveillance

Fingerprint

Dive into the research topics of 'Image bit-planes representation for moving object detection in real-time video surveillance'. Together they form a unique fingerprint.

Cite this