The Method of Infrared Point Target Detection and Tracking Based on DSP+FPGA

Yu Chen; Yan Xin Yu; Ting Zhao

doi:10.4028/www.scientific.net/AMM.457-458.1272

Paper Titles

Eye State Detection Based on Embedded Linux System
p.1253

Control and Communication Techniques of High-Speed Railway Train Wheel-Set Running-In Test Based on LabVIEW
p.1257

Secure and Efficient Certificateless Signature and Blind Signature Scheme from Pairings
p.1262

Coordinated Control Strategy of Distributed Photovoltaic Generation and Load
p.1266

The Method of Infrared Point Target Detection and Tracking Based on DSP+FPGA
p.1272

Design and Implementation of Selcal Controller
p.1278

Hybridizing Adaptive Biogeography-Based Optimization with Differential Evolution for Global Numerical Optimization
p.1283

Application of Artificial Potential Fields in the Hydrographic Measurement Control System
p.1288

Texture Feature-Based Particle Filter Video Tracking Using Cooccurrence Matrices
p.1294

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458The Method of Infrared Point Target Detection and...

The Method of Infrared Point Target Detection and Tracking Based on DSP+FPGA

Abstract:

Accounting for the problems of dynamic infrared point targets are difficult to detect accurately and to track in complex background, the single-frame image background suppression by the high-pass filtering and binary processing. Then it uses unscented Kalman filter (UKF) method to get the predicted target trajectory and achieves a precise target tracking. According to the proposed detection and tracking algorithm of motion infrared point target, this paper designs and implements a system of high speed real-time image processing platform based on DSP+FPGA structure. Test results show that when the target is in the interference condition, tracking can still be stabilized, its processing time is about 9.2ms per frame to meet real-time requirements.

You might also be interested in these eBooks

Frontiers of Mechanical Engineering and Materials Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

1272-1277

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.1272

Citation:

Cite this paper

Online since:

October 2013

Authors:

Yu Chen, Yan Xin Yu, Ting Zhao

Keywords:

DSP+FPGA, Infrared Images, Target Detection, Target Tracking, UKF

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Daum F. Nonlinear filters: beyond the Kalman filter. IEEE Aerospace and Electronic Systems Magazine, vol. 20, Aug. 2005, pp.57-69.

DOI: 10.1109/maes.2005.1499276

Google Scholar

[2] Mihaylova L, BoelR, HegyiA. An Unscented Kalman Filter for Freeway Traffic Estimation /Proc of the 11th IFAC Symposium onControl in Transportation Systems. Delft, Netherlands, 2006, pp.31-36.

DOI: 10.3182/20060829-3-nl-2908.00006

Google Scholar

[3] Mihaylova L, BoelR, HegyiA. An Unscented Kalman Filter for FreewayTraffic Estimation /Proc of the 11th IFAC Symposium on Control in Transportation Systems. Delft, Netherlands, 2006: 31-36.

Google Scholar

[4] Shi Yong, Han CS. Adaptive UKF Method with Applications to Target Tracking. ACTA AUTOMATICA SINICA, vol. 37, June. 2011, pp.755-759.

Google Scholar