Moving object detection based on high-speed video sequence images

被引：0
|
作者：
Wan, Wei [1 ]
Tang, Shoujun [1 ]
Zhang, Hongyang [2 ]
机构：
[1] GuangDong Polytech Inst, Guangzhou, Guangdong, Peoples R China
[2] GuangDong Meteorol Observ, Guangzhou, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年
关键词：
object detection; high-speed video; background subtraction; frame difference; morphology filter; BACKGROUND SUBTRACTION;
D O I：
10.1109/itaic.2019.8785810
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Moving object detection is one of the key technologies in the field of target extraction, pattern recognition and motion measurement. The problem of moving object detection based on high-speed video sequence images is investigated in this paper. First, the high-speed video tracking system is introduced. Second, an improved hybrid detection method combined background subtraction with frame difference is proposed, and the moving object is post-processed by using the threshold area de-noising and morphology filter. Finally, the experiment results show that the proposed method detects the moving object from the high-speed video sequence images precisely and effectively.
引用
收藏
页码：906 / 910
页数：5
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