A grid-based Bayesian approach to robust visual tracking
Visual tracking encompasses a wide range of applications in surveillance, medicine and the military arena. There are however roadblocks that hinder exploiting the full capacity of the tracking technology. Depending on specific applications, these roadblocks may include computational complexity, accu...
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| Published in | Digital signal processing Vol. 22; no. 1; pp. 54 - 65 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1051-2004 1095-4333 |
| DOI | 10.1016/j.dsp.2011.08.003 |
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| Abstract | Visual tracking encompasses a wide range of applications in surveillance, medicine and the military arena. There are however roadblocks that hinder exploiting the full capacity of the tracking technology. Depending on specific applications, these roadblocks may include computational complexity, accuracy and robustness of the tracking algorithms. In the paper, we present a grid-based algorithm for tracking that drastically outperforms the existing algorithms in terms of computational efficiency, accuracy and robustness. Furthermore, by judiciously incorporating feature representation, sample generation and sample weighting, the grid-based approach accommodates contrast change, jitter, target deformation and occlusion. Tracking performance of the proposed grid-based algorithm is compared with two recent algorithms, the gradient vector flow snake tracker and the Monte Carlo tracker, in the context of leukocyte (white blood cell) tracking and UAV-based tracking. This comparison indicates that the proposed tracking algorithm is approximately 100 times faster, and at the same time, is significantly more accurate and more robust, thus enabling real-time robust tracking. |
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| AbstractList | Visual tracking encompasses a wide range of applications in surveillance, medicine and the military arena. There are however roadblocks that hinder exploiting the full capacity of the tracking technology. Depending on specific applications, these roadblocks may include computational complexity, accuracy and robustness of the tracking algorithms. In the paper, we present a grid-based algorithm for tracking that drastically outperforms the existing algorithms in terms of computational efficiency, accuracy and robustness. Furthermore, by judiciously incorporating feature representation, sample generation and sample weighting, the grid-based approach accommodates contrast change, jitter, target deformation and occlusion. Tracking performance of the proposed grid-based algorithm is compared with two recent algorithms, the gradient vector flow snake tracker and the Monte Carlo tracker, in the context of leukocyte (white blood cell) tracking and UAV-based tracking. This comparison indicates that the proposed tracking algorithm is approximately 100 times faster, and at the same time, is significantly more accurate and more robust, thus enabling real-time robust tracking. |
| Author | Liu, Xinmin Lin, Zongli Acton, Scott T. |
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| Cites_doi | 10.1016/j.media.2006.05.006 10.1016/S0006-3495(93)81253-0 10.1109/ASSPCC.2000.882463 10.1016/S0262-8856(03)00137-9 10.1109/34.927458 10.1023/A:1008078328650 10.1016/S0006-3495(94)80939-7 10.1109/TPAMI.2003.1195991 10.1117/12.280797 10.1109/TMI.2002.806291 10.1006/mvre.2001.2373 10.1023/A:1007979827043 10.1109/5.959344 10.1109/JPROC.2007.893250 10.1049/ip-f-2.1993.0015 10.1109/70.538972 10.1023/A:1008935410038 10.1007/BF00133570 10.1109/TIP.2004.836152 10.1109/34.877523 10.1109/78.978374 10.1109/83.902291 10.2307/2669847 10.1109/83.661186 |
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| Keywords | Bayesʼ law Occlusion Visual tracking Multiple object tracking Kalman filter Real-time |
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| References | Ray, Acton, Ley (br0200) 2002; 21 Sorenson (br0150) 1988 Rasmussen, Hager (br0280) 2001 Kusumi, Sako, Yamamoto (br0300) 1993; 65 S. Julier, J. Uhlmann, A new extension of the Kalman filter to nonlinear systems, in: Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, vol. 3, 1997. Zhou, Chellappa, Moghaddam (br0240) 2004; 13 Xu, Prince (br0050) 1998; 7 N. Gordon, D. Salmond, A. Smith, Novel approach to nonlinear/non-Gaussian Bayesian state estimation, in: Radar and Signal Processing, IEE Proceedings F, vol. 140 (2), 1993, pp. 107–113. Caselles, Kimmel, Sapiro (br0070) 1997; 22 Isard, Blake (br0170) 1998; 29 Comaniciu, Ramesh, Meer (br0060) 2003 Doucet, Godsill, Andrieu (br0090) 2000; 10 Ghosh, Webb (br0290) 1994; 66 Grenander, Chow, Keenan (br0220) 1991 Chan, Vese (br0080) 2001; 10 Wildes, Kumar, Sawhney, Samasekera, Hsu, Tao, Guo, Hanna, Pope, Hirvonen, Hansen, Burt (br0010) 2001; 89 Kass, Witkin, Terzopoulos (br0040) 1988; 1 Dix, Finlay, Abowd (br0020) 2004 Acton, Wethmar, Ley (br0260) 2002; 63 Liu, Chen (br0180) 1998; 93 Jähne (br0270) 2004 Arulampalam, Maskell, Gordon, Clapp, Sci, Organ, Adelaide (br0100) 2002; 50 Cui, Acton, Lin (br0210) 2006; 10 G. Welch, G. Bishop, An introduction to the Kalman filter, University of North Carolina, 1995. Hutchinson, Hager, Corke (br0030) 1996; 12 Cappe, Godsill, Moulines (br0110) 2007; 95 E. Wan, R. Van Der Merwe, The unscented Kalman filter for nonlinear estimation, in: IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC, 2000, pp. 153–158. North, Blake, Isard, Rittscher (br0230) 2000 Zitová, Flusser (br0250) 2003; 21 A. Doucet, On sequential simulation-based methods for Bayesian filtering, 1998. Wildes (10.1016/j.dsp.2011.08.003_br0010) 2001; 89 Hutchinson (10.1016/j.dsp.2011.08.003_br0030) 1996; 12 Comaniciu (10.1016/j.dsp.2011.08.003_br0060) 2003 Dix (10.1016/j.dsp.2011.08.003_br0020) 2004 Caselles (10.1016/j.dsp.2011.08.003_br0070) 1997; 22 10.1016/j.dsp.2011.08.003_br0130 Kusumi (10.1016/j.dsp.2011.08.003_br0300) 1993; 65 Ghosh (10.1016/j.dsp.2011.08.003_br0290) 1994; 66 Ray (10.1016/j.dsp.2011.08.003_br0200) 2002; 21 10.1016/j.dsp.2011.08.003_br0190 Jähne (10.1016/j.dsp.2011.08.003_br0270) 2004 Kass (10.1016/j.dsp.2011.08.003_br0040) 1988; 1 Grenander (10.1016/j.dsp.2011.08.003_br0220) 1991 Zhou (10.1016/j.dsp.2011.08.003_br0240) 2004; 13 Acton (10.1016/j.dsp.2011.08.003_br0260) 2002; 63 Rasmussen (10.1016/j.dsp.2011.08.003_br0280) 2001 Arulampalam (10.1016/j.dsp.2011.08.003_br0100) 2002; 50 Zitová (10.1016/j.dsp.2011.08.003_br0250) 2003; 21 10.1016/j.dsp.2011.08.003_br0140 Isard (10.1016/j.dsp.2011.08.003_br0170) 1998; 29 10.1016/j.dsp.2011.08.003_br0120 Liu (10.1016/j.dsp.2011.08.003_br0180) 1998; 93 10.1016/j.dsp.2011.08.003_br0160 Cappe (10.1016/j.dsp.2011.08.003_br0110) 2007; 95 Cui (10.1016/j.dsp.2011.08.003_br0210) 2006; 10 Chan (10.1016/j.dsp.2011.08.003_br0080) 2001; 10 Sorenson (10.1016/j.dsp.2011.08.003_br0150) 1988 North (10.1016/j.dsp.2011.08.003_br0230) 2000 Doucet (10.1016/j.dsp.2011.08.003_br0090) 2000; 10 Xu (10.1016/j.dsp.2011.08.003_br0050) 1998; 7 |
| References_xml | – volume: 93 start-page: 1032 year: 1998 end-page: 1044 ident: br0180 article-title: Sequential Monte Carlo methods for dynamic systems publication-title: J. Amer. Statist. Assoc. – year: 1991 ident: br0220 article-title: Hands: A Pattern Theoretic Study of Biological Shapes – start-page: 560 year: 2001 end-page: 576 ident: br0280 article-title: Probabilistic data association methods for tracking complex visual objects publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 10 start-page: 197 year: 2000 end-page: 208 ident: br0090 article-title: On sequential Monte Carlo sampling methods for Bayesian filtering publication-title: Statist. Comput. – reference: G. Welch, G. Bishop, An introduction to the Kalman filter, University of North Carolina, 1995. – reference: N. Gordon, D. Salmond, A. Smith, Novel approach to nonlinear/non-Gaussian Bayesian state estimation, in: Radar and Signal Processing, IEE Proceedings F, vol. 140 (2), 1993, pp. 107–113. – volume: 89 start-page: 1518 year: 2001 end-page: 1539 ident: br0010 article-title: Aerial video surveillance and exploitation publication-title: Proc. IEEE – reference: S. Julier, J. Uhlmann, A new extension of the Kalman filter to nonlinear systems, in: Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, vol. 3, 1997. – volume: 66 start-page: 1301 year: 1994 end-page: 1318 ident: br0290 article-title: Automated detection and tracking of individual and clustered cell surface low density lipoprotein receptor molecules publication-title: Biophys. J. – volume: 50 start-page: 174 year: 2002 end-page: 188 ident: br0100 article-title: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking publication-title: IEEE Trans. Signal Process. – volume: 21 start-page: 977 year: 2003 end-page: 1000 ident: br0250 article-title: Image registration methods: a survey publication-title: Image Vision Comput. – volume: 10 start-page: 598 year: 2006 end-page: 610 ident: br0210 article-title: A Monte Carlo approach to rolling leukocyte tracking in vivo publication-title: Med. Image Anal. – volume: 13 start-page: 1491 year: 2004 end-page: 1506 ident: br0240 article-title: Visual tracking and recognition using appearance-adaptive models in particle filters publication-title: IEEE Trans. Image Process. – volume: 22 start-page: 61 year: 1997 end-page: 79 ident: br0070 article-title: Geodesic active contours publication-title: Int. J. Comput. Vis. – volume: 95 start-page: 899 year: 2007 ident: br0110 article-title: An overview of existing methods and recent advances in sequential Monte Carlo publication-title: Proc. IEEE – start-page: 1016 year: 2000 end-page: 1034 ident: br0230 article-title: Learning and classification of complex dynamics publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – year: 2004 ident: br0020 article-title: Human–Computer Interaction – volume: 29 start-page: 5 year: 1998 end-page: 28 ident: br0170 article-title: CONDENSATION – Conditional density propagation for visual tracking publication-title: Int. J. Comput. Vis. – volume: 10 start-page: 266 year: 2001 end-page: 277 ident: br0080 article-title: Active contours without edges publication-title: IEEE Trans. Image Process. – reference: E. Wan, R. Van Der Merwe, The unscented Kalman filter for nonlinear estimation, in: IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, AS-SPCC, 2000, pp. 153–158. – volume: 12 start-page: 651 year: 1996 end-page: 670 ident: br0030 article-title: A tutorial on visual servo control publication-title: IEEE Trans. Robot. Automat. – volume: 1 start-page: 321 year: 1988 end-page: 331 ident: br0040 article-title: Snakes: Active contour models publication-title: Int. J. Comput. Vis. – volume: 7 start-page: 359 year: 1998 end-page: 369 ident: br0050 article-title: Snakes, shapes, and gradient vector flow publication-title: IEEE Trans. Image Process. – year: 1988 ident: br0150 article-title: Recursive estimation for nonlinear dynamic systems publication-title: Bayesian Analysis of Time Series and Dynamic Models – start-page: 564 year: 2003 end-page: 577 ident: br0060 article-title: Kernel-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 21 start-page: 1222 year: 2002 end-page: 1235 ident: br0200 article-title: Tracking leukocytes in vivo with shape and size constrained active contours publication-title: IEEE Trans. Med. Imag. – volume: 65 start-page: 2021 year: 1993 end-page: 2040 ident: br0300 article-title: Confined lateral diffusion of membrane receptors as studied by single particle tracking (nanovid microscopy). Effects of calcium-induced differentiation in cultured epithelial cells publication-title: Biophys. J. – year: 2004 ident: br0270 article-title: Practical Handbook on Image Processing for Scientific and Technical Applications – volume: 63 start-page: 139 year: 2002 end-page: 148 ident: br0260 article-title: Automatic tracking of rolling leukocytes in vivo publication-title: Microvascul. Res. – reference: A. Doucet, On sequential simulation-based methods for Bayesian filtering, 1998. – volume: 10 start-page: 598 issue: 4 year: 2006 ident: 10.1016/j.dsp.2011.08.003_br0210 article-title: A Monte Carlo approach to rolling leukocyte tracking in vivo publication-title: Med. Image Anal. doi: 10.1016/j.media.2006.05.006 – volume: 65 start-page: 2021 issue: 5 year: 1993 ident: 10.1016/j.dsp.2011.08.003_br0300 article-title: Confined lateral diffusion of membrane receptors as studied by single particle tracking (nanovid microscopy). Effects of calcium-induced differentiation in cultured epithelial cells publication-title: Biophys. J. doi: 10.1016/S0006-3495(93)81253-0 – ident: 10.1016/j.dsp.2011.08.003_br0140 doi: 10.1109/ASSPCC.2000.882463 – volume: 21 start-page: 977 issue: 11 year: 2003 ident: 10.1016/j.dsp.2011.08.003_br0250 article-title: Image registration methods: a survey publication-title: Image Vision Comput. doi: 10.1016/S0262-8856(03)00137-9 – start-page: 560 year: 2001 ident: 10.1016/j.dsp.2011.08.003_br0280 article-title: Probabilistic data association methods for tracking complex visual objects publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.927458 – volume: 29 start-page: 5 issue: 1 year: 1998 ident: 10.1016/j.dsp.2011.08.003_br0170 article-title: CONDENSATION – Conditional density propagation for visual tracking publication-title: Int. J. Comput. Vis. doi: 10.1023/A:1008078328650 – volume: 66 start-page: 1301 issue: 5 year: 1994 ident: 10.1016/j.dsp.2011.08.003_br0290 article-title: Automated detection and tracking of individual and clustered cell surface low density lipoprotein receptor molecules publication-title: Biophys. J. doi: 10.1016/S0006-3495(94)80939-7 – start-page: 564 year: 2003 ident: 10.1016/j.dsp.2011.08.003_br0060 article-title: Kernel-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1195991 – ident: 10.1016/j.dsp.2011.08.003_br0130 doi: 10.1117/12.280797 – volume: 21 start-page: 1222 issue: 10 year: 2002 ident: 10.1016/j.dsp.2011.08.003_br0200 article-title: Tracking leukocytes in vivo with shape and size constrained active contours publication-title: IEEE Trans. Med. Imag. doi: 10.1109/TMI.2002.806291 – year: 1991 ident: 10.1016/j.dsp.2011.08.003_br0220 – volume: 63 start-page: 139 issue: 1 year: 2002 ident: 10.1016/j.dsp.2011.08.003_br0260 article-title: Automatic tracking of rolling leukocytes in vivo publication-title: Microvascul. Res. doi: 10.1006/mvre.2001.2373 – year: 2004 ident: 10.1016/j.dsp.2011.08.003_br0020 – volume: 22 start-page: 61 issue: 1 year: 1997 ident: 10.1016/j.dsp.2011.08.003_br0070 article-title: Geodesic active contours publication-title: Int. J. Comput. Vis. doi: 10.1023/A:1007979827043 – volume: 89 start-page: 1518 issue: 10 year: 2001 ident: 10.1016/j.dsp.2011.08.003_br0010 article-title: Aerial video surveillance and exploitation publication-title: Proc. IEEE doi: 10.1109/5.959344 – volume: 95 start-page: 899 issue: 5 year: 2007 ident: 10.1016/j.dsp.2011.08.003_br0110 article-title: An overview of existing methods and recent advances in sequential Monte Carlo publication-title: Proc. IEEE doi: 10.1109/JPROC.2007.893250 – ident: 10.1016/j.dsp.2011.08.003_br0160 doi: 10.1049/ip-f-2.1993.0015 – ident: 10.1016/j.dsp.2011.08.003_br0120 – volume: 12 start-page: 651 issue: 5 year: 1996 ident: 10.1016/j.dsp.2011.08.003_br0030 article-title: A tutorial on visual servo control publication-title: IEEE Trans. Robot. Automat. doi: 10.1109/70.538972 – year: 2004 ident: 10.1016/j.dsp.2011.08.003_br0270 – volume: 10 start-page: 197 issue: 3 year: 2000 ident: 10.1016/j.dsp.2011.08.003_br0090 article-title: On sequential Monte Carlo sampling methods for Bayesian filtering publication-title: Statist. Comput. doi: 10.1023/A:1008935410038 – ident: 10.1016/j.dsp.2011.08.003_br0190 – volume: 1 start-page: 321 issue: 4 year: 1988 ident: 10.1016/j.dsp.2011.08.003_br0040 article-title: Snakes: Active contour models publication-title: Int. J. Comput. Vis. doi: 10.1007/BF00133570 – volume: 13 start-page: 1491 issue: 11 year: 2004 ident: 10.1016/j.dsp.2011.08.003_br0240 article-title: Visual tracking and recognition using appearance-adaptive models in particle filters publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2004.836152 – start-page: 1016 year: 2000 ident: 10.1016/j.dsp.2011.08.003_br0230 article-title: Learning and classification of complex dynamics publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.877523 – year: 1988 ident: 10.1016/j.dsp.2011.08.003_br0150 article-title: Recursive estimation for nonlinear dynamic systems – volume: 50 start-page: 174 issue: 2 year: 2002 ident: 10.1016/j.dsp.2011.08.003_br0100 article-title: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking publication-title: IEEE Trans. Signal Process. doi: 10.1109/78.978374 – volume: 10 start-page: 266 issue: 2 year: 2001 ident: 10.1016/j.dsp.2011.08.003_br0080 article-title: Active contours without edges publication-title: IEEE Trans. Image Process. doi: 10.1109/83.902291 – volume: 93 start-page: 1032 year: 1998 ident: 10.1016/j.dsp.2011.08.003_br0180 article-title: Sequential Monte Carlo methods for dynamic systems publication-title: J. Amer. Statist. Assoc. doi: 10.2307/2669847 – volume: 7 start-page: 359 issue: 3 year: 1998 ident: 10.1016/j.dsp.2011.08.003_br0050 article-title: Snakes, shapes, and gradient vector flow publication-title: IEEE Trans. Image Process. doi: 10.1109/83.661186 |
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| Title | A grid-based Bayesian approach to robust visual tracking |
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