1) shadow suppression
阴影剪除
1.
An improved shadow suppression algorithm which combines HSV color information with first-order image gradient information was exploited to segment shadows.
该方法在RGB空间内建立了一种新颖的背景模型;为了解决背景更新“死锁”问题,提出了像素点的跳跃度函数和稳定性函数,将前景分类为静止目标、运动目标及虚假目标;最后提出了一种基于HSV颜色信息和一阶梯度信息的混合阴影剪除算法。
2.
At last using a shadow suppression algorithm based on HIS space the sha.
针对多运动目标的检测与分割,采用将背景差分与三帧差分相结合的检测算法,并提出一种改进的背景更新方法,增强背景的自适应性;利用动态自适应阈值提取图像中的运动区域,并进行形态学滤波,进一步滤除背景噪声;最后采用基于HSI颜色空间的阴影剪除算法去除目标阴影。
2) shadow removal
阴影去除
1.
Moving shadow removal based on invariant texture feature;
基于局部纹理不变性的运动阴影去除算法
2.
Object Detection and Shadow Removal in Visual Surveillance;
视频监控中的目标检测及阴影去除算法研究
3.
An automatic property-based approach is presented for shadow removal of color image.
基于阴影属性提出了一种全自动彩色影像阴影去除算法。
3) shadow elimination
阴影消除
1.
Detection of moving targets based on Kalman filter and shadow elimination
基于Kalman滤波和阴影消除的运动目标检测
2.
First,this paper analyse the optical characteristic of cast shadows,then propose a shadow elimination method based on chrominance distortion and local Kullback-Leibler divergence.
根据阴影区域特有的光学属性,提出了一种基于色度畸变和局部交叉熵的阴影消除方法。
3.
In this paper, several key technologies in gait recognition are researched, including the shadow elimination of moving human in the phase of pretreatment, the solving of occlusion in multi-human tracking, the extraction of gait features and the gait recognition.
本文主要是对步态识别中的几个关键技术进行研究,其中包括步态识别预处理中的运动人体的阴影消除、多人跟踪中遮挡问题的解决以及步态特征的提取和步态的识别。
5) shadow elimination
阴影去除
1.
Traffic detection and information collection has become an important subject in ITS, and vehicle detection, shadow elimination, vehicle recognition and tracking are the basic parts.
交通检测与信息采集已经成为智能交通系统中的一项重要课题,车辆的检测、阴影去除、车辆识别与跟踪则是其中最基础的部分。
2.
(2) Moving vehicle shadows elimination:This paper makes a study of gray-level distribution features and V component of HSV color space of shadow and develops an effective shadow elimination method.
本论文在总结和分析现有的基于计算机视觉技术的交通监控系统基本理论和关键技术的基础上,重点研究了固定视角下运动车辆的检测跟踪和分类技术,其中主要涉及到运动车辆的检测、运动车辆的阴影去除和运动车辆的跟踪与分类。
补充资料：剪除
铲除（恶势力）；消灭（坏人）：～奸宄。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条