IMAGE PROCESSING AND RECOGNITION ALGORITHM FOR TARGET TRACKING

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

8
Reader(s)
26
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 9 , ISSUE 1 (March 2016) > List of articles

IMAGE PROCESSING AND RECOGNITION ALGORITHM FOR TARGET TRACKING

Liping Lu * / Jinfang Wang *

Keywords : Target tracking, OUSU, Canny, difference image.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 1, Pages 353-376, DOI: https://doi.org/10.21307/ijssis-2017-874

License : (CC BY-NC-ND 4.0)

Received Date : 18-November-2015 / Accepted: 19-January-2016 / Published Online: 01-March-2016

ARTICLE

ABSTRACT

to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target image effect, analyze the positive and negative difference image measure to solve the background subtraction interference between two sequence images. Through the actual image processing, The results shows the proposed processing method can clear gain target marginal information and target image particle center, control tracking platform can stably track the target, and give the comparison results.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] Hu Jwu-sheng, Juan Chung-wei, Wang Jyun-ji, “A spatial-color mean-shift object tracking algorithm with scale and orientation estimation”, Pattern Recognition Letters, 2008, Vol.29, No.16, pp.2165-2173.
[2] Kato J., Watanabe T., et al, “An HMM/MRF-based stochastic framework for robust vehicle tracking”, IEEE Transactions on Intelligent TransPortation Systems, 2004, Vol.5, No. 3, pp.142-154.
[3] Jung S K, Wohn K Y, “A model-based 3-D tracking of rigid objects from a sequence of multiple perspective views”, Pattern Recognition Letters, 1998,Vol.19, No.6, pp.499-512.
[4] Mallat S, “A theory for multi-resolution signal decomposition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989,Vol.11, No.7, pp.674-693.
[5]Hu W., Xiao X., et al, “Traffic accident prediction using 3-D model-based vehicle tracking”, IEEE Transactions on Vehicular Technology, 2004, Vol.53, No.3, pp.677-694.
[6]Osher S, Sethian J A, “Fronts propagating With curvature dependent speed: algorithms based on Hamilton-Jacobi formulations”, Journal of Computational Physics, 1988,Vol.79, No.l, pp.12-49.
[7] Li P H, Zhang T W,Pece A E C, “Visual contour tracking based on Particle filters”, Image and Vision Computing, 2003,Vol.21, No.l, pp.111-123.
[8] Rohr K, “Towards model-based recognition of human movements in image sequences” , Image Understanding, 1994,Vol.59, No.l, pp.94-115.
[9] Meng An, Zhiguo Jiang, “High Speed Robust Image Registration and Localization Using Optimized Algorithm and Its Performances Evaluation”, Journal of Systems Engineering and Electronics, 2010, Vol.21, No.3, pp.520-526.
[10]R. H. Zhan, Q. Xin, J. Wan, “Modified unscented particle filter for nonlinear Bayesian tracking”, Journal of Systems Engineering and Electronies, 2008,Vol.19, No.1, pp.7-14.
[11] K. Nummiaro, E. Koller-Meier, L. V. Gool. “An Adaptive Color-Based Particle Filter”, Image and Vision Computing, 2003, Vol. 21, No.1, pp.99-120.
[12] Hanshan li. Research on target information optics communications transmission characteristic and performance in multi-screens testing system. Optics Communications, 2016, Vol.364, pp.139-144.
[13] Xiang Hua,Jinjin Zhang, Bin Le, “Investigation on photoelectric the odolite data processing and random errors model”, International Journal on Smart Sensing and Intelligent Systems, 2015, Vol.8, No2, pp.1180-1202.
[14] Pillay P, Bhattacharjee A, “Application of wavelets to model short-term power system disturbances”, IEEE Trans on Power Systems, 1996, Vol.11, No.4, pp.2031-2037.
[15]B.Hilt, P.Fessler, G. Prevot, “High-Speed Data Acquisition System for Spectroscopic Imaging of Ionizing Particles”, IEEE Transactions on Nuclear Science,1999, Vol.46, No.5, pp.1285-1288.
[16] Gauda A M, Saadany E F E, Salama M M A, et al, “Monitoring HVDC Systems Using Wavelet Multi-resolution Analysis”, IEEE Transactions on Power Systems, 2001, Vol. 16, No.4, pp.662-670.
[17]M, S. ArulamPalam, S. Maskell, N. Gordon, et al, “A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking”, IEEE Transaction on Signal Processing, 2002, Vol. 50, No2, pp.174-188.
[18] Hanshan Li. Limited magnitude calculation method and optics detection performance in a photoelectric tracking system. Applied Optics, 2015,Vol.54, No.7, pp.1612-1617.
[19]M. Isard, A. Blake, “CONDENSATION-conditional density propagation for visual tracking”, International Journal of Computer Vision, 1998, Vol.29, No.l, pp.5-28.
[20]C. S. Hsieh, “General two-stage extended Kalman filters”, IEEE Transaetions on Automatic Conirol, 2003,Vol. 48, No. 2, pp.289-293.
[21] Hanshan Li. “Space Target Optical Characteristics and SNR Calculation Model on Sky Screen”, IEEE Sensors journal, 2016, Vol.16, No. 4, pp. 912-917.
[22]D. Comaniciu, V. Ramesh, P. Meer, “Kemel-based object tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligenee, 2003,Vol. 25, No. 5, pp. 564-577.
[23] Z. Li, Q. L.Tang, N. Sang, “Improved mean shift algorithm for occlusion pedestrian tracking”, Eleetronics Letters, 2008, Vol. 44, No. 10, pp.622-623.
[24] Liu Erlin. “Automatic segmentation of brain tumor magnetic resonance imaging based on multi-constrains and dynamic prior”, International Journal on Smart Sensing and Intelligent Systems, 2015, Vol.8, No2, pp.1031-1049.

EXTRA FILES

COMMENTS