Share Email Print
cover

Proceedings Paper

A tracking method to stabilize a target in the region of inherent noise in an image
Author(s): Shuai Dong; Tianxu Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

During the movement of the target, we want to stabilize the target in the fixed region of the image. However, with inherent noise in this region, the information of the target on the image will be lost when the target enters this region. Besides, when there are other disturbances in the field of view, it will be more difficult to stabilize the target in the region with inherent noise. To solve this problem, we propose a tracking method to stabilize the target in the region of inherent noise in an image. We use multi-level filter detection method to detect the target in the image and obtain the position information of the target. Then according to the first 3 frames of images, the linear weighted sum value of the features and the motion trajectory of the target are estimated, and they are updated constantly in the process of tracking. The experimental results show that the tracking method has good performance in real-time, stability and anti-interference.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 1142918 (14 February 2020); doi: 10.1117/12.2541937
Show Author Affiliations
Shuai Dong, Wuhan Institute of Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11429:
MIPPR 2019: Automatic Target Recognition and Navigation
Jianguo Liu; Hanyu Hong; Xia Hua, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray