Abandoned Object Detection Based on Tachograph Videos

被引：0
|
作者：
Ma, He [1 ,2 ]
Zhao, Tiantian [1 ]
Li, Jinghan [1 ]
Qian, Wei [1 ]
机构：
[1] Northwestern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110169, Liaoning, Peoples R China
[2] Natl Univ Singapore, Suzhou Res Inst, Suzhou 215123, Peoples R China
来源：
2016 INTERNATIONAL COMPUTER SYMPOSIUM (ICS) | 2016年
基金：
中国国家自然科学基金;
关键词：
Abandoned object detection; Dynamic background; Particle filter; VIBE algorithm;
D O I：
10.1109/ICS.2016.62
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In the traditional abandoned object detection(AOD for short) researches, the monitoring equipment is stationary which is limited in practice. In this paper, a novel abandoned object detection based on tachograph is proposed. Firstly, we use the Harris-SIFT features and particle filter to achieve object tracking. After that, the VIBE algorithm is applied to detect the abandoned object with background modeling frame by frame, using both background subtraction method and frame difference method. Experimental results show that the proposed algorithm can detect the abandoned object accurately and robustly in both ideal and practical condition.
引用
收藏
页码：279 / 284
页数：6
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