Application of order morphology filtering on detection of small target and point target

被引：8

作者：

Ye, B ^{[1
]}

Peng, JX ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China

来源：

OBJECT DETECTION, CLASSIFICATION, AND TRACKING TECHNOLOGIES | 2001年 / 4554卷

关键词：

small target; point target; detection; tracking; order morphology filtering(OMF); high pass filtering(HPF); image flow analysis; Kalman track filtering;

D O I：

10.1117/12.441630

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a new algorithm that can detect and track a number of small targets or point targets with low contrast through an image sequence taken from a static camera. The issues that we have addressed to achieve this are twofold. Firstly, the detection of small targets or point targets based on order morphology filtering, and secondly, tracking of targets based on image flow analysis. The experiment results show that the method can effectively and reliably detect and track moving small targets or point targets with low SNR comprising high-pass filtering and Kalman track filtering.

引用

页码：94 / 99

页数：6