Laser spot detection and tracking

Joint Authors

Fatih, Maryam Muhammad
Fadil, Ahmad Faridun

Source

ZANCO Journal of Pure and Applied Sciences

Publisher

Salahaddin University-Erbil Department of Scientific Publications

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Electronic engineering

English Abstract

The aim of this paper is to accurately detect laser spots in low resolution images and track the laser spot in static background conditions.

Since laser spot have many important applications in targeting and guiding smart munitions and robotics navigation, the detection and tracking of laser spots become an important research area.

The accurate detection of a laser spot has been made possible with the help of the computer vision techniques.

The detection process includes filtering, segmentation, feature extraction, and classification.

An improved Background Subtraction and Improved Kalman filtering method was proposed in this paper.

The new improved methods use some morphological operations, median filtering, and labeling algorithm.

In addition, to recognize the laser spot accurately from other background noises, some features of laser spot shape and appearance were used.

The software used to implement the different methods is Matlab R2013a.

The results show that the proposed algorithms have better results compared to the existing Background Subtraction and Kalman Filtering methods.

Data Type

Conference Papers

Record ID

BIM-787490

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