摘要
依据视频图像序列中运动目标分割的一种重要方法背景差法的,提出一种新的计算颜色模型,使用该模型能够有效地计算色度差,解决了背景中光照亮度渐变和背景物体移动等问题,从而解决了运动物体的阴影消除问题。利用该方案实现了人体检测系统,并对该检测系统在室内和室外进行了多组实验。实验结果验证了所提出的方案——新的阴影消除方法的有效性。
Background subtraction is a typical technique used for real-time segmentation of moving objects in video sequences. To cope with background change problems such as gradual illumination changes and moved background objects, to cope with shadow problem, a new computational color model is proposed. Chromaticity distortion is measured in an effective way. Experiments have been performed on a surveillance system in indoor environments as well as outdoor environments. The experimental results demonstrate the effectiveness of the proposed approach - a new shadow suppression method.
出处
《辽宁工程技术大学学报(自然科学版)》
EI
CAS
北大核心
2005年第1期104-106,共3页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(69975002)
唐山市科技研究基金资助项目(04110802C-2)
关键词
背景差
颜色模型
图像分割
计算机视觉
background subtraction
color model
image segment
computer vision