2012
DOI: 10.1016/j.patrec.2011.12.013
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A survey of cast shadow detection algorithms

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Cited by 92 publications
(66 citation statements)
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“…In other survey, Sanin et al [67] followed the work done in [66] but with comparing recent publications and using a more comprehensive set of test sequences. Recently, in their survey, Al-Najdawi et al [68] brought an exhaustive comparison on cast shadow detection algorithms based on object/environment dependency and implementation domain. Recent algorithms have been compared in a survey written by Tiwari et al [69] who categorized the shadow detection algorithms in different scenarios such indoor/outdoor scenes, fixed/moving cameras, and umbra/penumbra shadows.…”
Section: Shadowmentioning
confidence: 99%
“…In other survey, Sanin et al [67] followed the work done in [66] but with comparing recent publications and using a more comprehensive set of test sequences. Recently, in their survey, Al-Najdawi et al [68] brought an exhaustive comparison on cast shadow detection algorithms based on object/environment dependency and implementation domain. Recent algorithms have been compared in a survey written by Tiwari et al [69] who categorized the shadow detection algorithms in different scenarios such indoor/outdoor scenes, fixed/moving cameras, and umbra/penumbra shadows.…”
Section: Shadowmentioning
confidence: 99%
“…23,24 2.3 Occlusion Management Except when the camera is located above the road, with perpendicular viewing to the road surface, when vehicles are close, they partially occlude one another and correct counting is difficult. The problem becomes harder when the occlusion occurs as soon as the vehicles appear in the field of view.…”
Section: Shadow Removalmentioning
confidence: 99%
“…However, these shadow detection and removal algorithms are difficult to implement and require a significant amount of computation time, which is an important issue for real-time field applications. Moreover, these algorithms provide poor shadow removal for outdoor scenes (Al-Najdawi et al 2012). Therefore, a simple and effective shadow detection and removal algorithm is needed for real-time weed detection and control application in an agricultural field environment.…”
Section: Introductionmentioning
confidence: 99%