Grabcut-based abandoned object detection

Kahlil Muchtar, Chih Yang Lin, Chia Hung Yeh

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

This paper presents a detection-based method to subtract abandoned object from a surveillance scene. Unlike tracking-based approaches that are commonly complicated and unreliable on a crowded scene, the proposed method employs background (BG) modelling and focus only on immobile objects. The main contribution of our work is to build abandoned object detection system which is robust and can resist interference (shadow, illumination changes and occlusion). In addition, we introduce the MRF model and shadow removal to our system. MRF is a promising way to model neighbours' information when labeling the pixel that is either set to background or abandoned object. It represents the correlation and dependency in a pixel and its neighbours. By incorporating the MRF model, as shown in the experimental part, our method can efficiently reduce the false alarm. To evaluate the system's robustness, several dataset including CAVIAR datasets and outdoor test cases are both tested in our experiments.

原文英語
主出版物標題2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781479958962
DOIs
出版狀態已發佈 - 2014 11月 14
對外發佈
事件2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 - Jakarta, 印度尼西亚
持續時間: 2014 9月 222014 9月 24

出版系列

名字2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014

會議

會議2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014
國家/地區印度尼西亚
城市Jakarta
期間2014/09/222014/09/24

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 訊號處理

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