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http://dx.doi.org/10.9717/kmms.2016.19.5.890

Multiple Target Tracking using Target Feature Information  

Kim, Sujin (The 5th Research and Development Institute, Agency for Defense Development)
Jung, Young-Hun (The 5th Research and Development Institute, Agency for Defense Development)
Kang, Jaewung (The 5th Research and Development Institute, Agency for Defense Development)
Yoon, Joohong (The 5th Research and Development Institute, Agency for Defense Development)
Publication Information
Journal of Korea Multimedia Society / v.19, no.5, 2016 , pp. 890-900 More about this Journal
Abstract
This paper presents a multiple target tracking system using target feature information. In the proposed system, the state of target is defined as its kinematic as well as feature : the kinematic includes a location and a velocity; the feature contains the image correlation between a prior target and a current measurement. The feature information is used for generating the validation matrix and association probability of joint probabilistic data association (JPDA) algorithm. Through the Kalman filter, the target kinematic is updated. Then the tracking information is cycled by the track management algorithm. The system has been evaluated using the images obtained from Electro-Optics/ InfraRed (EO/IR) sensor. It is verified that the proposed system can reduce the complexity burden of JPDA process and can enhance the track maintenance rate.
Keywords
Multiple Target Tracking (MTT); Target Feature Information; Joint Probabilistic Data Association (JPDA); Image Correlation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 T.S. Jin and M.J. Lee, “Application and Technology of Multiple Target Tracking based on Image,“ Journal of Korea Robotics Society, Vol. 4, No. 4, pp. 47-53, 2007.
2 T.L. Song, “Multi-target Tracking Filters and Data Association: A Survey,” Journal of Institute of Control Robotics and Systems, Vol. 20, No. 3, pp. 313-322, 2014.   DOI
3 J.W. Kim and J.H. Kim, “Development Trends of EO/IR’,“ Korea Defense Industry Association, Defense & Technology, pp. 86-96, 2015.
4 S.I. Lee, J.Y. Kim, K,H. Kim and B.H. Koo, “Small Target Detection Method under Complex FLIR Imagery,“ Journal of Korea Multimedia Society, Vol.10, No. 3, pp.432-440, 2007
5 S. Samuel and Blackman, Multi-Target Tracking with Radar Application, Dedham, MA: Artech House, 1986.
6 Y.B. Sharlom and T.E. Fortmann, Tracking and Data Assocation, FL: Academic Press, Orlando, 1988.
7 O. Barnich and M.V. Droogenbroeck, “ViBe: A Universal Background Subtraction Algorithm for Video Sequences,” IEEE Transactions on Image Processing, Vol. 20, No. 6, pp. 1709-1724, 2011.   DOI
8 D. Lerro, “Interacting Multiple Model Tracking with Target Amplitude Feature," IEEE Transactions on Aerospace and Electronic Systems, Vol. 28, No. 2, pp. 494-509, 1993.   DOI
9 M. Mertens and M. Ulmke, "GMTI Tracking Using Signal Strength Information," Proceeding of IEEE 13th Conference on Information Fusion, pp. 1-8, 2010.
10 E.F. Brekke, O. Hallingstad, and J.H. Glattetre, "Target Tracking in Heavy-Tailed Clutter using Amplitude," Proceeding of IEEE 12th International Conference on Information Fusion, pp. 2153-2160, 2009.
11 L.M. Ehrman, C. Burton, and W.D. Blair, "Using Target RCS to Aid Measurementto- Track Association in Multi-Target Tracking," Proceeding of IEEE 38th Southeaster Symposium on System Theory, pp. 89-93, 2006.
12 S. Wu, Y. Tan, S. Das, C. Broaddus, and M.Y. Chiu, "Multiple-Target Tracking via Kinematics, Shape and Appearance Based Data Association," Proceeding of SPIE Signal and Data Processing of Small Targets, Vol. 7445, pp.1-10, 2009.
13 X. Wang, D. Musicki, R. Ellem, and F. Fletcher "Enhanced Multi-Target Tracking with Doppler Measurements," Proceeding of IEEE Information, Decision and Control, pp. 53-58, 2007.
14 Blackman, S. Samuel, and R. Popoli, Design and Analysis of Modern Tracking Systems, MA: Artech House, Norwood, 1999.
15 J.P. Lewis, Fast Normalized Cross-Correlation, http://scribblething.org (accessed Apr., 10, 2015).
16 J.G. Ellis, K.A. Kramer, and S.C. Stubberud, "Image Correlation Based Video Tracking," Proceeding of IEEE International Conference on Systems Engineering, pp. 132-136, 2011.
17 J.N. Sarvaiya, S. Patnaik, and S. Bombaywala, "Image Registration by Template Matching Using Normalized Cross Correlation," Proceeding of IEEE International Conference on Advances in Computing, Control and Telecommunication Technologies, pp. 132-136, 2009.