Target Detection and Tracking Based on Ship Borne Infrared Imagery

被引：3

作者：

Hu Wenhua ^{[1
]}

Xu Kaiyu ^{[1
]}

Shi Chaojian ^{[1
]}

机构：

[1] Shanghai Maritime Univ, Shanghai, Peoples R China

来源：

ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2 | 2010年 / 439-440卷

关键词：

Infrared image; target detection; target tracking; difference; Intensity Variation Function; MOTION;

D O I：

10.4028/www.scientific.net/KEM.439-440.546

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：

A novel automatic target detection and tracking algorithm for tracking targets based on ship borne infrared imagery is proposed in this paper. The algorithm has two modes: detection and tracking. In detection mode, the proposed algorithm utilized difference between the consecutive frames and top-hat filter to determine the target position. In tracking mode, the Intensity Variation Function (IVF) is utilized. Before tracking and location the new position, the algorithm should determine the IVF whether reliable. If unreliable, the mode turns to detection. Experimental results by using real-life infrared image sequence are shown to validate the robustness of the proposed technique.

引用

页码：546 / 551

页数：6

共 13 条

[1]

ALEXANDER T, 2008, SPIE INT SOC PHOTOOP, V6945

[2] Automatic target tracking in FLIR image sequences using intensity variation function and template Modeling [J].