Paper Title:
Target Detection and Tracking Based on Ship Borne Infrared Imagery
  Abstract

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.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
546-551
DOI
10.4028/www.scientific.net/KEM.439-440.546
Citation
W. H. Hu, K. Y. Xu, C. J. Shi, "Target Detection and Tracking Based on Ship Borne Infrared Imagery", Key Engineering Materials, Vols. 439-440, pp. 546-551, 2010
Online since
June 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhong Qu, Qing Wei Ma
Abstract:In this paper, we extract slight movement object of real-time video images by using skin color detection and clustering methods. The...
603
Authors: Jing Li, Huai Yu Liu, Liu Rong Hong
Chapter 2: Mechatronics and Automation
Abstract:A road background generation and update method that is based on segment statistics is put forward. It is to generate background by image...
489
Authors: Min Hao Cao, Fei Zhong
Chapter 4: Automation, Control, Information and Computer Technologies
Abstract:In order to meet the online testing requirements in current manufacturing automated production of car foam,the paper proposes a method for...
1093
Authors: Yu Bing Dong, Ying Sun, Ming Jing Li
Chapter 18: Computer Applications and Mathematical Modeling
Abstract:An improved tracking method based on trajectory prediction is proposed and studied. The moving target tracking system is given and described....
2062