摘要
鉴于现有的运动目标检测方法对光照变化的敏感性,本文提出了一种在静态场景下对光照变化鲁棒的运动目标检测方法。该方法利用视频当前图像帧的边缘与背景图像的边缘做差分运算,得出运动目标的轮廓,进而对运动目标进行定位与检测。实验证明,本方法在一定程度上能够消除由于环境光照变化引起的"曝光"现象,实时准确地检测出运动目标及其位置,运算速度快,满足实时性的需求。
Object detection has been widely used in smart video surveillance system, and many algorithms have been developed. However, these algorithms are sensitive to illumination. In this paper, a robust method has been proposed, which is based on the difference the edge maps between the background image and the image at present in the video. The outline of moving objects is drawn, and then the moving targets are detected and localized. Experiments show that this method is robust to illumination, can detect moving object correctly and be easily adopted in fixed camera environment with real-time application.
出处
《光电工程》
CAS
CSCD
北大核心
2013年第1期17-22,共6页
Opto-Electronic Engineering
基金
贵州省科技厅(黔科合J字[2012]2339号)
关键词
运动目标检测
光照鲁棒
实时性
moving object detection
robust to illumination
real-time application
