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Cole, D. Austin, and L. Cole, \u201cVisual object recognition using template matching,\u201d Australian Conference on Robotics and Automation, Dec. 2004."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] M. Sun, J. Xiao, E.G. Lim, B. Zhang, and Y. Zhao, \u201cFast template matching and update for video object tracking and segmentation,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.10791-10799, 2020. 10.1109\/cvpr42600.2020.01080","DOI":"10.1109\/CVPR42600.2020.01080"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] J. Cheng, Y. Wu, W. AbdAlmageed and P. Natarajan, \u201cQATM: Quality-aware template matching for deep learning,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.11553-11562, 2019. 10.1109\/cvpr.2019.01182","DOI":"10.1109\/CVPR.2019.01182"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] H. Bay, T. Tuytelaars, and L. Van Gool, \u201cSURF: Speeded up robust features,\u201d Computer Vision-ECCV 2006: 9th European Conference on Computer Vision, Lecture Notes in Computer Science, vol.3951, pp.404-417, 2006. 10.1007\/11744023_32","DOI":"10.1007\/11744023_32"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] E. Rosten and T. Drummond, \u201cFusing points and lines for high performance tracking,\u201d Tenth IEEE International Conference on Computer Vision (ICCV'05), vol.2, pp.1508-1515, Oct. 2005. 10.1109\/iccv.2005.104","DOI":"10.1109\/ICCV.2005.104"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] P.F. Alcantarilla, A. Bartoli, and A.J. Davison, \u201cKAZE features,\u201d Computer Vision-ECCV 2012: 12th European Conference on Computer Vision, Lecture Notes in Computer Science, vol.7577, pp.214-227, Oct. 2012. 10.1007\/978-3-642-33783-3_16","DOI":"10.1007\/978-3-642-33783-3_16"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] R. Tagami, H. Kobayashi, S. Akizuki, and M. Hashimoto, \u201cReliable matching by combining optimal color and intensity information based on relationships between target and surrounding objects,\u201d Advances in Visual Computing, ISVC 2023, Lecture Notes in Computer Science, vol.14362, pp.163-176, Oct. 2023. 10.1007\/978-3-031-47966-3_13","DOI":"10.1007\/978-3-031-47966-3_13"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, \u201cORB: An efficient alternative to SIFT or SURF,\u201d 2011 International Conference on Computer Vision, pp.2564-2571, 2011. 10.1109\/iccv.2011.6126544","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] Z. Chen, S. Li, N. Zhang, Y. Hao, and X. Zhang, \u201cEye-to-hand robotic visual tracking based on template matching on FPGAs,\u201d IEEE Access, vol.7, pp.88870-88880, 2019. 10.1109\/access.2019.2926807","DOI":"10.1109\/ACCESS.2019.2926807"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] D.G. Lowe, \u201cObject recognition from local scale-invariant features,\u201d Proc. Seventh IEEE International Conference on Computer Vision, vol.2, pp.1150-1157, Sept. 1999. 10.1109\/iccv.1999.790410","DOI":"10.1109\/ICCV.1999.790410"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] P.F. Alcantara, J. Nuevo, and A. Bartoli, \u201cFast explicit diffusion for accelerated features in nonlinear scale spaces,\u201d British Machine Vision Conference (BMVC2013), 2013. https:\/\/doi.org\/10.5244\/C.27.13 10.5244\/C.27.13","DOI":"10.5244\/C.27.13"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] M.-P. Dubuisson and A.K. Jain, \u201cA modified Hausdorff distance for object matching,\u201d Proc. 12th International Conference on Pattern Recognition, vol.1, pp.566-568, 1994. 10.1109\/icpr.1994.576361","DOI":"10.1109\/ICPR.1994.576361"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] J. Xiao and H. Wei, \u201cScale-invariant contour segment context in object detection,\u201d Image and Vision Computing, vol.32, no.12, pp.1055-1066, 2014. 10.1016\/j.imavis.2014.08.013","DOI":"10.1016\/j.imavis.2014.08.013"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] Q. Yu, H. Wei, and C. Yang, \u201cLocal part chamfer matching for shape-based object detection,\u201d Pattern Recognit., vol.65, pp.82-96, 2017. 10.1016\/j.patcog.2016.11.020","DOI":"10.1016\/j.patcog.2016.11.020"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] T. Dekel, S. Oron, M. Rubinstein, S. Avidan, and W.T. Freeman, \u201cBest-buddies similarity for robust template matching,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.2021-2029, 2015. 10.1109\/cvpr.2015.7298813","DOI":"10.1109\/CVPR.2015.7298813"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] S. Oron, T. Dekel, T. Xue, W.T. Freeman, and S. Avidan, \u201cBest-buddies similarity\u2014Robust template matching using mutual nearest neighbors,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.40, no.8, pp.1799-1813, 2017. 10.1109\/tpami.2017.2737424","DOI":"10.1109\/TPAMI.2017.2737424"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] I. Talmi, R. Mechrez, and L. Zelnik-Manor, \u201cTemplate matching with deformable diversity similarity,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.175-183, 2017. 10.1109\/cvpr.2017.144","DOI":"10.1109\/CVPR.2017.144"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] S. Korman, S. Soatto, and M. Milam, \u201cOATM: Occlusion aware template matching by consensus set maximization,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.2675-2683, 2018. 10.1109\/cvpr.2018.00283","DOI":"10.1109\/CVPR.2018.00283"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] S. Korman, D. Reichman, G. Tsur, and S. Avidan, \u201cFast-match: Fast affine template matching,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.2331-2338, 2013. 10.1109\/cvpr.2013.302","DOI":"10.1109\/CVPR.2013.302"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] J. Lai, L. Lei, K. Deng, R. Yan, Y. Ruan, and Z. Jinyun, \u201cFast and robust template matching with majority neighbour similarity and annulus projection transformation,\u201d Pattern Recognit., vol.98, 107029, 2020. 10.1016\/j.patcog.2019.107029","DOI":"10.1016\/j.patcog.2019.107029"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] M. Hashimoto, T. Fujiwara, H. Koshimizu, H. Okuda, and K. Sumi, \u201cExtraction of unique pixels based on co-occurrence probability for high-speed template matching,\u201d 2010 International Symposium on Optomechatronic Technologies, pp.1-6, Oct. 2010. 10.1109\/isot.2010.5687336","DOI":"10.1109\/ISOT.2010.5687336"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] R. Tagami, S. Eba, N. Nakabayashi, S. Akizuki, and M. Hashimoto, \u201cTemplate matching using a small number of pixels selected by distinctiveness of quantized hue values,\u201d International Workshop on Advanced Imaging Technology (IWAIT) 2022, vol.12177, pp.662-667, April 2022. 10.1117\/12.2624409","DOI":"10.1117\/12.2624409"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] R. Kat, R. Jevnisek, and S. Avidan, \u201cMatching pixels using co-occurrence statistics,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.1751-1759, 2018. 10.1109\/cvpr.2018.00188","DOI":"10.1109\/CVPR.2018.00188"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] P.-E. Sarlin, D. DeTone, T. Malisiewicz, and A. Rabinovich, \u201cSuperGlue: Learning feature matching with graph neural networks,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.4937-4946, 2020. 10.1109\/cvpr42600.2020.00499","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] J. Sun, Z. Shen, Y. Wang, H. Bao, and X. Zhou, \u201cLoFTR: Detector-free local feature matching with transformers,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.8922-8931, 2021. 10.1109\/cvpr46437.2021.00881","DOI":"10.1109\/CVPR46437.2021.00881"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] G. B\u00f6kman and F. Kahl, \u201cA case for using rotation invariant features in state of the art feature matchers,\u201d Proc. IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.5110-5119, 2022. 10.1109\/cvprw56347.2022.00559","DOI":"10.1109\/CVPRW56347.2022.00559"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] P. Lindenberger, P.-E. Sarlin, and M. Pollefeys, \u201cLightGlue: Local feature matching at light speed,\u201d arXiv preprint arXiv:2306.13643, 2023.","DOI":"10.1109\/ICCV51070.2023.01616"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] D. DeTone, T. Malisiewicz, and A. Rabinovich, \u201cSuperPoint: Self-supervised interest point detection and description,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.224-236, 2018. 10.1109\/cvprw.2018.00060","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] J. Canny, \u201cA computational approach to edge detection,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-8, no.6, pp.679-698, 1986. 10.1109\/tpami.1986.4767851","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"30","unstructured":"[30] G. Jocher, K. Nishimura, T. Mineeva, and R. Vilari\u00f1o, \u201cyolov5,\u201d https:\/\/github.com\/ultralytics\/yolov5, 2020."},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] Y. Wu, J. Lim, and M.-H. Yang, \u201cOnline object tracking: A benchmark,\u201d Proc. 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