JOURNAL ARTICLE

High-precision maneuvering target contour tracking method based on Kalman filtering algorithm

Abstract

This paper presents a high-precision maneuvering target contour tracking method based on Kalman filtering algorithm for video, against to the requirement to express the target contour accurately in engineering, and the fact that presently most of target tracking methods in video are not precise, target is easy to lose. By compensating the priori state error in update process of Kalman filtering algorithm, the method in this paper can track the target contour which occasionally moves sharply, especially it is suitable for the condition that target outline is clear against background. This method provides an approach to get target contour as well as internal information precisely, and has practical value in engineering. By the analysis of experiment, when severe maneuvering of the target happens or in the environment where there is background contour interference, the method can still track the target contour accurately, in addition it is easy to implement and has good real-time performance.

Keywords:
Kalman filter Computer science Computer vision Tracking (education) Artificial intelligence A priori and a posteriori Algorithm Process (computing) Track (disk drive) Interference (communication)

Metrics

3
Cited By
0.26
FWCI (Field Weighted Citation Impact)
12
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering

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