Extended fuzzy background modeling for moving vehicle detection using infrared vision

IEICE Electronics Express

Lim Heng Siong¹  Wong Wai Kit¹  Lim Way Soong¹  Yeo Boon Chin¹ 

[1] Faculty of Engineering and Technology, Multimedia University

关键词: fuzzy background modeling;    vehicle detection;    thermograph;   

DOI  :  10.1587/elex.8.340

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(5)Cited-By(3)Running average is a simple and effective background modeling method that generates adaptive background image for moving object detection. Fuzzy Running Average (FRA) improves the selectivity of Standard Running Average (SRA). However, its background restoration rate is slow. This leads to false object detection when a static object becomes dynamic. To overcome this problem, an Extended Fuzzy Running Average (EFRA) is proposed. The results show that the EFRA not only retains the selectivity benefit of FRA, but also improves the restoration rate significantly.

【 授权许可】

Unknown