An Object Recognition Strategy Base upon Foreground Detection

被引:0
|
作者
Chen, Jifei
Zhang, Yafei
Tian, Yulong
Lu, Jianjiang
机构
来源
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT III | 2011年 / 7004卷
关键词
Object Recognition; UAV; HOG; Foreground Detection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Unmanned aerial vehicles equipped with surveillance system have begun to play an increasingly important role in recent years, which has provided valuable information for us. Object recognition is necessary in processing video information. However, traditional recognition methods based on object segmentation can hardly meet the system demands for running online. In this paper, we have made use of SVM based upon HOG feature descriptors to achieve online recognizing passersby in an UAV platform, and designed an object recognition framework based on foreground detection. In order to accelerate the processing speed of the system, our scheme adopts recognizing objects only in the foreground areas which largely reduces searching scope. In conclusion, our methods can recognize specified objects and have a strong anti-jamming capability to the background noise.
引用
收藏
页码:39 / 46
页数:8
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