Abandoned object detection in complicated environments

Kahlil Muchtar, Chih Yang Lin*, Li Wei Kang, Chia Hung Yeh

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.

原文英語
主出版物標題2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs
出版狀態已發佈 - 2013
對外發佈
事件2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, 臺灣
持續時間: 2013 十月 292013 十一月 1

出版系列

名字2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

會議

會議2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
國家/地區臺灣
城市Kaohsiung
期間2013/10/292013/11/01

ASJC Scopus subject areas

  • 資訊系統
  • 訊號處理

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