Intelligent moving objects detection via adaptive frame differencing method

Chun Ming Tsai*, Zong Mu 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

7 引文 斯高帕斯(Scopus)

摘要

The detection of moving objects is a critical first step in video surveillance, but conventional moving objects detection methods are not efficient or effective for certain types of moving objects: slow and fast. This paper presents an intelligent method to detect slow- and fast-moving objects simultaneously. It includes adaptive frame differencing, automatic thresholding, and moving objects localization. The adaptive frame differencing uses different inter-frames for frame differencing, the number depending on variations in the differencing image. The thresholding method uses a modified triangular algorithm to determine the threshold value and reduces most small noises. The moving objects localization uses six cascaded rules and bounding-boxes-based morphological operations to merge broken objects and remove noise objects. The fps value (maximum 72) depends on the speed of the objects. The number of inter-frames is inversely proportional to the speed. The results demonstrate that our method is more efficient than traditional frame differencing and background subtraction methods.

原文英語
主出版物標題Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings
頁面1-11
頁數11
版本PART 1
DOIs
出版狀態已發佈 - 2013 三月 11
事件5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013 - Kuala Lumpur, 马来西亚
持續時間: 2013 三月 182013 三月 20

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
7802 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013
國家/地區马来西亚
城市Kuala Lumpur
期間2013/03/182013/03/20

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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