{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:26:08Z","timestamp":1754155568005,"version":"3.41.2"},"reference-count":34,"publisher":"Emerald","issue":"8","license":[{"start":{"date-parts":[[2014,8,26]],"date-time":"2014-08-26T00:00:00Z","timestamp":1409011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,8,26]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 In visual-based applications, lighting conditions have a considerable impact on quality of the acquired images. Extremely low or high illuminated environments are a real issue for a majority of cameras due to limitations in their dynamic range. Indeed, over or under exposure might result in loss of essential information because of pixel saturation or noise. This can be critical in computer vision applications. High dynamic range (HDR) imaging technology is known to improve image rendering in such conditions. The purpose of this paper is to investigate the level of performance that can be achieved for feature detection and tracking operations in images acquired with a HDR image sensor. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 In this study, four different feature detection techniques are selected and tracking algorithm is based on the pyramidal implementation of Kanade-Lucas-Tomasi (KLT) feature tracker. Tracking algorithm is run over image sequences acquired with a HDR image sensor and with a high resolution 5 Megapixel image sensor to comparatively assess them. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The authors demonstrate that tracking performance is greatly improved on image sequences acquired with HDR sensor. Number and percentage of finally tracked features are several times higher than what can be achieved with a 5 Megapixel image sensor. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The specific interest of this work focuses on the evaluation of tracking persistence of a set of initial detected features over image sequences taken in different scenes. This includes extreme illumination indoor and outdoor environments subject to direct sunlight exposure, backlighting, as well as dim light and dark scenarios.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/k-07-2014-0137","type":"journal-article","created":{"date-parts":[[2014,10,3]],"date-time":"2014-10-03T11:46:53Z","timestamp":1412336813000},"page":"1129-1149","source":"Crossref","is-referenced-by-count":7,"title":["HDR imaging for feature tracking in challenging visibility scenes"],"prefix":"10.1108","volume":"43","author":[{"given":"Lounis","family":"Chermak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil","family":"Aouf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Richardson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122921572815500_b1","unstructured":"Ashikhmin, M.\n                (2002), \u201cA tone mapping algorithm for high contrast images\u201d, Proceedings of the 13th Eurographics Workshop on Rendering, pp. 145-156."},{"key":"key2020122921572815500_b2","doi-asserted-by":"crossref","unstructured":"Bay, H.\n               , \n                  Ess, A.\n               , \n                  Tuytelaars, T.\n                and \n                  Van Gool, L.\n                (2008), \u201cSpeeded-up robust features (SURF)\u201d, Comput. Vis. Image Underst., Vol. 110, No. 3, pp. 346-359.","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"key2020122921572815500_b3","doi-asserted-by":"crossref","unstructured":"Bell, A.A.\n               , \n                  Meyer-Ebrecht, D.\n               , \n                  Bocking, A.\n                and \n                  Aach, T.\n                (2007), \u201cHDR-Microscopy of cell specimens: imaging and image analysis\u201d, Signals, Systems and Computers, ACSSC 2007, Conference Record of the Forty-First Asilomar Conference, pp. 1303-1307.","DOI":"10.1109\/ACSSC.2007.4487437"},{"key":"key2020122921572815500_b4","unstructured":"Black, M.J.\n                and \n                  Rangarajan, A.\n                (1994), \u201cThe outlier process: unifying line processes and robust statistics\u201d, Computer Vision and Pattern Recognition, Proceedings CVPR\u201994, IEEE Computer Society Conference. pp. 15-22."},{"key":"key2020122921572815500_b5","doi-asserted-by":"crossref","unstructured":"Boschetti, A.\n               , \n                  Adami, N.\n               , \n                  Leonardi, R.\n                and \n                  Okuda, M.\n                (2010), \u201cHigh dynamic range image tone mapping based on local histogram equalization\u201d, Multimedia and Expo (ICME) 2010 IEEE International Conference, pp. 1130-1135.","DOI":"10.1109\/ICME.2010.5583305"},{"key":"key2020122921572815500_b6","unstructured":"Bouguet, J.-Y.\n                (2001), \u201cPyramidal implementation of the affine Lucas Kanade feature tracker description of the algorithm\u201d, Intel Corp."},{"key":"key2020122921572815500_b7","doi-asserted-by":"crossref","unstructured":"Caballero, F.\n               , \n                  Merino, L.\n               , \n                  Ferruz, J.\n                and \n                  Ollero, A.\n                (2008), \u201cVision-based odometry and SLAM for medium and high altitude flying UAVs\u201d, J. Intell. Robot. Syst., Vol. 54, pp. 137-161.","DOI":"10.1007\/s10846-008-9257-y"},{"key":"key2020122921572815500_b8","doi-asserted-by":"crossref","unstructured":"Chermak, L.\n                and \n                  Aouf, N.\n                (2012), \u201cFeature enhanced feature detection and matching under extreme illumination conditions with a HDR imaging sensor\u201d, Proceedings of the 11th IEEE International Conference on Cybernetic Intelligent Systems, pp. 64-69.","DOI":"10.1109\/CIS.2013.6782161"},{"key":"key2020122921572815500_b9","doi-asserted-by":"crossref","unstructured":"Cui, Y.\n               , \n                  Pagani, A.\n                and \n                  Stricker, D.\n                (2011), \u201cRobust point matching in HDRI through estimation of illumination distribution\u201d, Pattern Recognition, Springer, Berlin, pp. 226-235.","DOI":"10.1007\/978-3-642-23123-0_23"},{"key":"key2020122921572815500_b10","doi-asserted-by":"crossref","unstructured":"Debevec, P.E.\n                and \n                  Malik, J.\n                (2008), \u201cRecovering high dynamic range radiance maps from photographs\u201d, ACM SIGGRAPH 2008 Classes, p. -.","DOI":"10.1145\/1401132.1401174"},{"key":"key2020122921572815500_b11","doi-asserted-by":"crossref","unstructured":"Fattal, R.\n               , \n                  Agrawala, M.\n                and \n                  Rusinkiewicz, S.\n                (2007), \u201cMultiscale shape and detail enhancement from multi-light image collections\u201d, ACM Trans. Graph., Vol. 26 No. 3, p. -.","DOI":"10.1145\/1276377.1276441"},{"key":"key2020122921572815500_b12","doi-asserted-by":"crossref","unstructured":"Ferwerda, J.A.\n                (2001), \u201cElements of early vision for computer graphics\u201d, Comput. Graph. Appl. IEEE, Vol. 21 No. 5, pp. 22-33.","DOI":"10.1109\/38.946628"},{"key":"key2020122921572815500_b13","doi-asserted-by":"crossref","unstructured":"Fischler, M.A.\n                and \n                  Bolles, R.C.\n                (1981), \u201cRandom sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography\u201d, Commun. ACM, Vol. 24 No. 6, pp. 381-395.","DOI":"10.1145\/358669.358692"},{"key":"key2020122921572815500_b14","doi-asserted-by":"crossref","unstructured":"Gauglitz, S.\n               , \n                  H\u00f6llerer, T.\n                and \n                  Turk, M.\n                (2011), \u201cEvaluation of interest point detectors and feature descriptors for visual tracking\u201d, Int. J. Comput. Vis., Vol. 94 No. 3, pp. 335-360.","DOI":"10.1007\/s11263-011-0431-5"},{"key":"key2020122921572815500_b15","doi-asserted-by":"crossref","unstructured":"Goshtasby, A.A.\n                (2005), \u201cFusion of multi-exposure images\u201d, Image Vis. 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