Infrared Moving Multi-Target Tracking Based on Particle Filter and FCM

Fan Jun Hu; Wen Jun Shi

doi:10.4028/www.scientific.net/AMM.347-350.3792

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Infrared Moving Multi-Target Tracking Based on...

Infrared Moving Multi-Target Tracking Based on Particle Filter and FCM

Abstract:

An efficient approach based on particle filter and FCM is presented to realize moving infrared multi-target tracking under Island shore background. Some possible targets can be obtained and saved by processing IR data through denoising by median filter, extracting edge, identifying and eliminating sea-sky line, morphological filtering and etc. Data association and robust multi-target tracking can be realized by the proposed particle filter and FCM algorithm. The proposed approach is validated to track multi-target effectively by using actual infrared image sequences with Island shore background. Experiment results indicate the feasibility and effectiveness of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3792-3796

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3792

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Online since:

August 2013

Authors:

Fan Jun Hu, Wen Jun Shi

Keywords:

FCM, Multi-Target Tracking, Particle Filter (PF)

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References

[1] G.W. Pulford, Taxonomy of Multiple Target Tracking Methods, Proceedings of IEEE Conference on Radar Sonar Navigation, vol. 152, 2005, pp.291-304.

DOI: 10.1049/ip-rsn:20045064

Google Scholar

[2] HAO Xiao-ran, ZHANG You-zhi, Method of Moving Point Target Detection in Image Sequence, Infrared and Laser Engineering, 1999, pp.7-86.

Google Scholar

[3] O Chutatape, L Guo, A Modified Hough Transform for Line Detection and Its Performance, Pattern Recognition, vol. 32, 1999, pp.181-192.

DOI: 10.1016/s0031-3203(98)00140-x

Google Scholar

[4] BRAGA-NETO U, CHOUDHARY M, Goutsias J, Automatic Target Detection and Tracking in Forward-looking Infrared Image Sequences Using Morphological Connected Operators, Journal of Electronic Imaging, vol. 13, 2004, pp.802-813.

DOI: 10.1117/1.1789982

Google Scholar

[5] DONG Chun-li, DONG Yu-ning, Liu Jie, Object Tracking Algorithm Based on Particle Filtering and GVF-Snake, Chinese Journal of Scientific Instrument, vol. 30, 2009, pp.828-833.

DOI: 10.1109/icosp.2008.4697315

Google Scholar

[6] Selim S Z, Ismail M A, K-means Type Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, 1994, pp.81-87.

Google Scholar

[7] QIU Li-mei, HU Bu-fa, 3D Face Pose Estimation Based on Affine Transformation and Linear Regression, Journal of Computer Applications, vol. 26, 2006, pp.2877-2883.

Google Scholar