图像和视频序列中阴影检测与去除的研究进展

Arti Tiwari, P. Singh, Sobia Amin
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引用次数: 17

摘要

阴影检测和去除是提高计算机视觉应用的性能、可靠性和准确性的过程,包括图像分割和目标识别、目标跟踪、监视等。从图像和视频中检测和去除阴影可以减少计算机视觉应用和算法中的不良结果。本文的主要目的是分析目前使用的各种阴影检测技术的性能。本文讨论了静止图像和视频序列中阴影的检测和去除技术。所讨论的阴影检测和去除技术的范围仅限于不同的场景:(i)室内和室外场景的阴影检测,(ii)使用固定或移动摄像机的阴影检测,(iii)本影和半影阴影检测等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on Shadow Detection and Removal in images and video sequences
Shadow Detection and Removal is the process to enhance the performance, reliability and accuracy of the computer vision applications including image segmentation and object recognition, object tracking, surveillance etc. Detection and Removal of shadow from the images and videos can reduce the undesirable outcomes in the computer vision applications and algorithms. The prime objective of this survey paper is to analyze the performance of various currently used shadow detection techniques. In this paper we have discussed the techniques for detecting and removing shadow from the still images and video sequences. The scope of discussed shadow detection and removal techniques is limited to different scenarios: (i) Shadow detection for Indoor and Outdoor scenes, (ii) Shadow detection using fixed or moving camera, (iii) Shadow detection of umbra and penumbra shadows etc.
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