A robust template tracking algorithm with weighted active drift correction

► We propose a novel algorithm for object template tracking and its drift correction. ► The tracking term and the drift correction term constitute the total energy function. ► The template tracking and weighted active drift correction are achieved synchronously by minimizing the total energy. ► We d...

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Vydáno v:	Pattern recognition letters Ročník 32; číslo 9; s. 1317 - 1327
Hlavní autoři:	Fan, Baojie, Du, Yingkui, Zhu, Linlin, Sun, Jing, Tang, Yandong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.07.2011 Elsevier
Témata:	Active drift correction Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image processing Information, signal and communications theory Inverse compositional algorithm Pattern recognition Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Template tracking Template update Inverse compositional algorithm Active drift correction Template tracking Template update Target tracking Image processing Energy function Sequence alignment Updating L2 approximation Algorithm Adaptive method Image matching Algorithm performance Object detection Target detection
ISSN:	0167-8655, 1872-7344
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Abstract	► We propose a novel algorithm for object template tracking and its drift correction. ► The tracking term and the drift correction term constitute the total energy function. ► The template tracking and weighted active drift correction are achieved synchronously by minimizing the total energy. ► We design a new template updating strategy to diminish the accumulative error during the tracking. ► Verified on the PETS2001 datasets, the proposed algorithm can prevent the tracking drift effectively, and save the time of an additional correction tracking, and achieve better performance than the inverse compositional algorithm for drift correction. In this paper, we propose a novel algorithm for object template tracking and its drift correction. It can prevent the tracking drift effectively, and save the time of an additional correction tracking. In our algorithm, the total energy function consists of two terms: the tracking term and the drift correction term. We minimize the total energy function synchronously for template tracking and weighted active drift correction. The minimization of the active drift correction term is achieved by the inverse compositional algorithm with a weighted L2 norm, which is incorporated into traditional affine image alignment (AIA) algorithm. Its weights can be adaptively updated for each template. For diminishing the accumulative error in tracking, we design a new template update strategy that chooses a new template with the lowest matching error. Finally, we will present various experimental results that validate our algorithm. These results also show that our algorithm achieves better performance than the inverse compositional algorithm for drift correction.
AbstractList	► We propose a novel algorithm for object template tracking and its drift correction. ► The tracking term and the drift correction term constitute the total energy function. ► The template tracking and weighted active drift correction are achieved synchronously by minimizing the total energy. ► We design a new template updating strategy to diminish the accumulative error during the tracking. ► Verified on the PETS2001 datasets, the proposed algorithm can prevent the tracking drift effectively, and save the time of an additional correction tracking, and achieve better performance than the inverse compositional algorithm for drift correction. In this paper, we propose a novel algorithm for object template tracking and its drift correction. It can prevent the tracking drift effectively, and save the time of an additional correction tracking. In our algorithm, the total energy function consists of two terms: the tracking term and the drift correction term. We minimize the total energy function synchronously for template tracking and weighted active drift correction. The minimization of the active drift correction term is achieved by the inverse compositional algorithm with a weighted L2 norm, which is incorporated into traditional affine image alignment (AIA) algorithm. Its weights can be adaptively updated for each template. For diminishing the accumulative error in tracking, we design a new template update strategy that chooses a new template with the lowest matching error. Finally, we will present various experimental results that validate our algorithm. These results also show that our algorithm achieves better performance than the inverse compositional algorithm for drift correction.
Author	Zhu, Linlin Sun, Jing Tang, Yandong Fan, Baojie Du, Yingkui
Author_xml	– sequence: 1 givenname: Baojie surname: Fan fullname: Fan, Baojie email: fanbaojie@sia.cn organization: Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang 110016, China – sequence: 2 givenname: Yingkui surname: Du fullname: Du, Yingkui email: dyk@sia.cn organization: Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang 110016, China – sequence: 3 givenname: Linlin surname: Zhu fullname: Zhu, Linlin email: zhulinlin@sia.cn organization: Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang 110016, China – sequence: 4 givenname: Jing surname: Sun fullname: Sun, Jing email: sunjing@sia.cn organization: Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang 110016, China – sequence: 5 givenname: Yandong surname: Tang fullname: Tang, Yandong email: ytang@sia.cn organization: Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang 110016, China
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Keywords	Inverse compositional algorithm Active drift correction Template tracking Template update Target tracking Image processing Energy function Sequence alignment Updating L2 approximation Algorithm Adaptive method Image matching Algorithm performance Object detection Target detection
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References	Schreiber (b0110) 2007; 28 Zhu, Linlin, Fan, Baojie, Tang, Yandong, 2009. Active contour method with separate global translation and local deformation. In: Internat. Conf. on Intelligent Robotics and Applications (ICIRA), pp. 876–884. Mitra, Murthy, Pal (b0090) 2002; 24 Bergen, J.R., Anandan, P., Hanna, K.J., Hingorani, R., 1992. Hierarchical model-based motion estimation. In: Proc. ECCV, pp. 237–252. Cootes, Edwards, Taylor (b0040) 2001; 23 Lucas, B.D., Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. In: Proc. Internat. Joint Conf. on Artificial Intelligence, pp. 674–679. Freedman, Zhang (b0045) 2004; 13 Paragios, Deriche (b0100) 2000; 22 Matthews, Ishikawa, Baker (b0085) 2004; 26 Comaniciu, Visvanathan, Meer (b0035) 2003; 25 Black, Jepson (b0030) 1998; 36 Ishikawa, T., Matthews, I., Baker, S., 2002. Efficient Image Alignment with Outlier Rejection. Technical Report CMU-RI-TR-02-27, Carnegie Mellon University Robotics Institute. Jepson, Fleet, EI-Maraghi (b0065) 2003; 25 Nickels, Hutchinson (b0095) 2002; 20 Baker, S., Gross, R., Matthews, I., 2003. Lucas–Kanade 20 Years on: A Unifying Framework: Part 2. Technical Report CMU-RI-TR-03-01, Carnegie Mellon University Robotics Institute. Bascle, B., Deriche, R., 1995. Region tracking through image sequences. In: Proc. IEEE Internat. Conf. on Computer Vision, pp. 302–307. Baker, Matthews (b0015) 2004; 56 Baker, S., Gross, R., Matthews, I., 2002. Lucas–Kanade 20 Years on: A Unifying Framework: Part 1. Technical Report CMU-RI-TR-03-01, Carnegie Mellon University Robotics Institute. Sclaroff, S., Isidoro, J., 1998. Active blobs. In: Proc. 6th IEEE Internat. Conf. on Computer Vision, pp. 1146–1153. Tissainayagam, Suter (b0125) 2005; 38 Swain, Ballard (b0120) 1991; 7 Zhou, Chellappa, Moghaddan (b0130) 2004; 13 Lankton, S., Malcolm, J., Nakhmani, A., Tannenbaum, A., 2008. Tracking through changes in scale. In: Internat. Conf. on Image Process., pp. 241–244. Gross, Matthews, Baker (b0050) 2006; 24 Perez, P., Hue, C., Vermak, J., et al. 2002. Color-based probabilistic tracking. In: European Conf. on Computer Vision, pp. 661–675. Hager, Belhumeur (b0055) 1998; 20 10.1016/j.patrec.2011.03.010_b0115 Paragios (10.1016/j.patrec.2011.03.010_b0100) 2000; 22 10.1016/j.patrec.2011.03.010_b0135 Black (10.1016/j.patrec.2011.03.010_b0030) 1998; 36 Freedman (10.1016/j.patrec.2011.03.010_b0045) 2004; 13 Jepson (10.1016/j.patrec.2011.03.010_b0065) 2003; 25 Mitra (10.1016/j.patrec.2011.03.010_b0090) 2002; 24 Cootes (10.1016/j.patrec.2011.03.010_b0040) 2001; 23 Matthews (10.1016/j.patrec.2011.03.010_b0085) 2004; 26 10.1016/j.patrec.2011.03.010_b0010 10.1016/j.patrec.2011.03.010_b0070 Tissainayagam (10.1016/j.patrec.2011.03.010_b0125) 2005; 38 Swain (10.1016/j.patrec.2011.03.010_b0120) 1991; 7 10.1016/j.patrec.2011.03.010_b0005 Comaniciu (10.1016/j.patrec.2011.03.010_b0035) 2003; 25 10.1016/j.patrec.2011.03.010_b0025 Hager (10.1016/j.patrec.2011.03.010_b0055) 1998; 20 10.1016/j.patrec.2011.03.010_b0105 Zhou (10.1016/j.patrec.2011.03.010_b0130) 2004; 13 10.1016/j.patrec.2011.03.010_b0060 Nickels (10.1016/j.patrec.2011.03.010_b0095) 2002; 20 10.1016/j.patrec.2011.03.010_b0020 Schreiber (10.1016/j.patrec.2011.03.010_b0110) 2007; 28 Baker (10.1016/j.patrec.2011.03.010_b0015) 2004; 56 Gross (10.1016/j.patrec.2011.03.010_b0050) 2006; 24 10.1016/j.patrec.2011.03.010_b0080
References_xml	– volume: 13 start-page: 518 year: 2004 end-page: 526 ident: b0045 article-title: Active contours for tracking distributions publication-title: IEEE Trans. Image Process. – volume: 56 start-page: 221 year: 2004 end-page: 255 ident: b0015 article-title: Lucas–Kanade 20 years on: A unifying framework publication-title: Internat. J. Comput. Vision – reference: Zhu, Linlin, Fan, Baojie, Tang, Yandong, 2009. Active contour method with separate global translation and local deformation. In: Internat. Conf. on Intelligent Robotics and Applications (ICIRA), pp. 876–884. – reference: Perez, P., Hue, C., Vermak, J., et al. 2002. Color-based probabilistic tracking. In: European Conf. on Computer Vision, pp. 661–675. – volume: 22 start-page: 266 year: 2000 end-page: 280 ident: b0100 article-title: Geodesic active contours and level set for the detection and tracking of moving objects publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 20 start-page: 1025 year: 1998 end-page: 1039 ident: b0055 article-title: Efficient region tracking with parametric models of geometry and illumination publication-title: IEEE Trans. Pattern Anal. Machine Intell. – reference: Lucas, B.D., Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. In: Proc. Internat. Joint Conf. on Artificial Intelligence, pp. 674–679. – volume: 24 start-page: 301 year: 2002 end-page: 312 ident: b0090 article-title: Unsupervised feature selection using feature similarity publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 26 start-page: 810 year: 2004 end-page: 815 ident: b0085 article-title: The template update problem publication-title: IEEE Trans. Pattern Anal. Machine Intell. – reference: Ishikawa, T., Matthews, I., Baker, S., 2002. Efficient Image Alignment with Outlier Rejection. Technical Report CMU-RI-TR-02-27, Carnegie Mellon University Robotics Institute. – reference: Baker, S., Gross, R., Matthews, I., 2003. Lucas–Kanade 20 Years on: A Unifying Framework: Part 2. Technical Report CMU-RI-TR-03-01, Carnegie Mellon University Robotics Institute. – reference: Baker, S., Gross, R., Matthews, I., 2002. Lucas–Kanade 20 Years on: A Unifying Framework: Part 1. Technical Report CMU-RI-TR-03-01, Carnegie Mellon University Robotics Institute. – reference: Bascle, B., Deriche, R., 1995. Region tracking through image sequences. In: Proc. IEEE Internat. Conf. on Computer Vision, pp. 302–307. – volume: 23 start-page: 681 year: 2001 end-page: 685 ident: b0040 article-title: Active appearance models publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 24 start-page: 593 year: 2006 end-page: 604 ident: b0050 article-title: Active appearance models with occlusion publication-title: Image Vis. Comput. – volume: 7 start-page: 11 year: 1991 end-page: 32 ident: b0120 article-title: Color indexing publication-title: Internat. J. Comput. Vision – volume: 25 start-page: 564 year: 2003 end-page: 575 ident: b0035 article-title: Kernel based object tracking publication-title: IEEE Trans. Pattern Anal. Machine Intell. – reference: Sclaroff, S., Isidoro, J., 1998. Active blobs. In: Proc. 6th IEEE Internat. Conf. on Computer Vision, pp. 1146–1153. – volume: 38 start-page: 105 year: 2005 end-page: 113 ident: b0125 article-title: Object tracking in image sequences using point feature publication-title: Pattern Recognition – volume: 13 start-page: 1491 year: 2004 end-page: 1506 ident: b0130 article-title: Visual tracking and recognition using appearance-adaptive models in particle filters publication-title: IEEE Trans. Image Process. – reference: Lankton, S., Malcolm, J., Nakhmani, A., Tannenbaum, A., 2008. Tracking through changes in scale. In: Internat. Conf. on Image Process., pp. 241–244. – volume: 25 start-page: 1296 year: 2003 end-page: 1311 ident: b0065 article-title: Robust online appearance models for visual tracking publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 20 start-page: 47 year: 2002 end-page: 58 ident: b0095 article-title: Estimating uncertainty in SSD-based feature tracking publication-title: Image Vis. Comput. – volume: 36 start-page: 63 year: 1998 end-page: 84 ident: b0030 article-title: Eigen-tracking: robust matching and tracking of articulated objects using a view-based representation publication-title: IJCV – volume: 28 start-page: 1483 year: 2007 end-page: 1491 ident: b0110 article-title: Robust template tracking with drift correction publication-title: Pattern Recognition Lett. – reference: Bergen, J.R., Anandan, P., Hanna, K.J., Hingorani, R., 1992. Hierarchical model-based motion estimation. In: Proc. ECCV, pp. 237–252. – ident: 10.1016/j.patrec.2011.03.010_b0080 – volume: 25 start-page: 564 issue: 5 year: 2003 ident: 10.1016/j.patrec.2011.03.010_b0035 article-title: Kernel based object tracking publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2003.1195991 – volume: 28 start-page: 1483 issue: 12 year: 2007 ident: 10.1016/j.patrec.2011.03.010_b0110 article-title: Robust template tracking with drift correction publication-title: Pattern Recognition Lett. doi: 10.1016/j.patrec.2007.03.007 – volume: 7 start-page: 11 issue: 1 year: 1991 ident: 10.1016/j.patrec.2011.03.010_b0120 article-title: Color indexing publication-title: Internat. J. Comput. Vision doi: 10.1007/BF00130487 – ident: 10.1016/j.patrec.2011.03.010_b0020 doi: 10.1109/ICCV.1995.466925 – ident: 10.1016/j.patrec.2011.03.010_b0115 doi: 10.21236/ADA366982 – volume: 38 start-page: 105 issue: 1 year: 2005 ident: 10.1016/j.patrec.2011.03.010_b0125 article-title: Object tracking in image sequences using point feature publication-title: Pattern Recognition doi: 10.1016/j.patcog.2004.05.011 – volume: 56 start-page: 221 issue: 3 year: 2004 ident: 10.1016/j.patrec.2011.03.010_b0015 article-title: Lucas–Kanade 20 years on: A unifying framework publication-title: Internat. J. Comput. Vision doi: 10.1023/B:VISI.0000011205.11775.fd – ident: 10.1016/j.patrec.2011.03.010_b0025 doi: 10.1007/3-540-55426-2_27 – volume: 22 start-page: 266 issue: 3 year: 2000 ident: 10.1016/j.patrec.2011.03.010_b0100 article-title: Geodesic active contours and level set for the detection and tracking of moving objects publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/34.841758 – ident: 10.1016/j.patrec.2011.03.010_b0005 – ident: 10.1016/j.patrec.2011.03.010_b0060 – volume: 24 start-page: 593 issue: 6 year: 2006 ident: 10.1016/j.patrec.2011.03.010_b0050 article-title: Active appearance models with occlusion publication-title: Image Vis. Comput. doi: 10.1016/j.imavis.2005.08.001 – ident: 10.1016/j.patrec.2011.03.010_b0010 – volume: 20 start-page: 47 issue: 1 year: 2002 ident: 10.1016/j.patrec.2011.03.010_b0095 article-title: Estimating uncertainty in SSD-based feature tracking publication-title: Image Vis. Comput. doi: 10.1016/S0262-8856(01)00076-2 – ident: 10.1016/j.patrec.2011.03.010_b0070 doi: 10.1109/ICIP.2008.4711736 – volume: 20 start-page: 1025 issue: 10 year: 1998 ident: 10.1016/j.patrec.2011.03.010_b0055 article-title: Efficient region tracking with parametric models of geometry and illumination publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/34.722606 – volume: 13 start-page: 518 year: 2004 ident: 10.1016/j.patrec.2011.03.010_b0045 article-title: Active contours for tracking distributions publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.821445 – ident: 10.1016/j.patrec.2011.03.010_b0135 doi: 10.1007/978-3-642-10817-4_86 – volume: 23 start-page: 681 issue: 6 year: 2001 ident: 10.1016/j.patrec.2011.03.010_b0040 article-title: Active appearance models publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/34.927467 – volume: 24 start-page: 301 issue: 3 year: 2002 ident: 10.1016/j.patrec.2011.03.010_b0090 article-title: Unsupervised feature selection using feature similarity publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/34.990133 – volume: 25 start-page: 1296 issue: 10 year: 2003 ident: 10.1016/j.patrec.2011.03.010_b0065 article-title: Robust online appearance models for visual tracking publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2003.1233903 – ident: 10.1016/j.patrec.2011.03.010_b0105 – volume: 13 start-page: 1491 issue: 11 year: 2004 ident: 10.1016/j.patrec.2011.03.010_b0130 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 – volume: 36 start-page: 63 issue: 2 year: 1998 ident: 10.1016/j.patrec.2011.03.010_b0030 article-title: Eigen-tracking: robust matching and tracking of articulated objects using a view-based representation publication-title: IJCV doi: 10.1023/A:1007939232436 – volume: 26 start-page: 810 issue: 6 year: 2004 ident: 10.1016/j.patrec.2011.03.010_b0085 article-title: The template update problem publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2004.16
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Snippet	► We propose a novel algorithm for object template tracking and its drift correction. ► The tracking term and the drift correction term constitute the total...
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SubjectTerms	Active drift correction Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image processing Information, signal and communications theory Inverse compositional algorithm Pattern recognition Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Template tracking Template update
Title	A robust template tracking algorithm with weighted active drift correction
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