图像处理中的阴影消除方法－一篇2007年PR上的文章介绍

今天看了一篇文章介绍阴影消除的方法，感觉有必要记下来。

文章题目：Shadow detection for moving objects based on texture analysis.

Authors: A. Lenone, C.Distante

Publications: Pattern Recognition 40 (2007) 1222-1233.

Abstract:This paper presents a new approach for shadow detection of moving objects in visual surveillance environment, improving localization, segmentation, tracking and classification of detected objects. An automatic segmentation procedure based on adaptive background difference is performed in order to detect potential shadow points so that, for all moving pixels, the approach evaluates the compatibility of photometric
properties with shadow characteristics. The shadow detection approach is improved by evaluating the similarity between little textured patches, since shadow regions present same textural characteristics in each frame and in the corresponding adaptive background model. In this work we suggest a new approach to describe textural information in terms of redundant systems of functions. The algorithm is designed to be unaffected by scene type, background type or light conditions. Experimental results validate the algorithm’s performance on a benchmark suite of indoor and outdoor video sequences.

文章对先前的阴影消除方法进行了回顾，这些方法也可以看一下。采用三帧差分来提取自适应背景，其更新率是自适应决定的。在得到背景后，采用帧间差分得到运动区域，差分的阈值也时自适应得到，然后运用Gabor提取特征，消除阴影。

 文章所用的视频来自与下面网站：http://cvrr.ucsd.edu/aton/shadow/

该网站是如下组织Autonomous Agents for On-Scene Networked Incident Management (ATON) 所建立，旨在解决交通事故检测、监控、恢复（make tangible and substantive contributions to the realization of a powerful and integrated traffic-incident detection, monitoring and recovery system. ）。其研究涉及如下几个领域。

• System Architecture, Robotic Agents, and Coordinated Behaviors
  
  
• Distributed Active Multicamera Vision-Based Systems
  
  
• Ubiquitous Vision and Tele-Existence
  
  
• Video Databases and Activity Monitoring
  
  
• Shadow Detection and Correction
  
  
• Distributed Virtual Environments