Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework

被引：6

作者：

Jaszewski, Martin ^{[1
]}

Parameswaran, Shibin ^{[1
]}

Hallenborg, Eric ^{[1
]}

Bagnall, Bryan ^{[1
]}

机构：

[1] Space & Naval Warfare Syst Ctr Pacific, San Diego, CA 92152 USA

来源：

VIDEO SURVEILLANCE AND TRANSPORTATION IMAGING APPLICATIONS 2015 | 2015年 / 9407卷

关键词：

object detection; anomaly detection; saliency; discrete cosine transform; quadratic discriminant analysis;

D O I：

10.1117/12.2175585

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 an initial target detection performance evaluation system for the RAPid Image Exploitation Resource (RAPIER)(R) Full Motion Video (RFMV) maritime target tracking software. We test and evaluate four statistical target detection methods using 30 Hz full motion video from aerial platforms. Using appropriate algorithm performance criteria inspired by the PASCAL Visual Object Classes (VOC) Challenge, we address the tradeoffs between detection fidelity and computational speed/throughput.

引用

页数：7

共 34 条

[1] OBJECT TRACKING AND ANOMALY DETECTION IN FULL MOTION VIDEO
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