| 基于HSI颜色模型的运动目标检测方法 |
| |
| 引用本文： | 赵波,宣士斌,郑增国,桑高丽.基于HSI颜色模型的运动目标检测方法[J].广西民族学院学报(自然科学版),2012(3):58-61. |
| |
| 作者姓名： | 赵波 宣士斌 郑增国 桑高丽 |
| |
| 作者单位： | [1]广西民族大学信息科学与工程学院,广西南宁530006 [2]广西民族大学广西混杂计算与集成电路分析设计重点实验室,广西南宁530006 |
| |
| 基金项目： | 基金项目：广西混杂计算与集成电路设计分析重点实验室开放基金项目（HCIC201109）;广西民族大学2011年研究生教育创新计划项目（gxun-chx2011079）. |
| |
| 摘 要： | 针对灯光和背景的亮度不同，通过HSI空阃提取亮度信息，使用自动阈值对光源和运动目标进行区分，降低因光源变化而产生的运动目标误检．实验结果表明，该算法可以显著提高运动目标检测在有光源影响下的准确性，减少将背景误判为前景的情况．
|
| 关 键 词： | HSI彩色模型 混合高斯模型 运动目标检测 |
Moving Object Detection Based on HSI Color Space |
| |
| ZHAO Bo,XUAN Shi-bin,ZHENG Zeng-guo,SANG Gao-li.Moving Object Detection Based on HSI Color Space[J].Journal of Guangxi University For Nationalities(Natural Science Edition),2012(3):58-61. |
| |
| Authors: | ZHAO Bo XUAN Shi-bin ZHENG Zeng-guo SANG Gao-li |
| |
| Affiliation: | (College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China) |
| |
| Abstract: | In the course of moving-object detection, the background models are crucially important for the object extraction, the Gaussian mixture model（GMM） is one of popular and robust methods in the background models. But under the influence of light factors it leads to larger error. For the different luminance of the background and the moving-object, Extract the luminance in HSI color space, differentiate them using automatic threshold, reduce the error detection caused by light source change. The results show that the method can improve the detection accuracy under the influence of lighting change and reduce the miscarriage of justice for the foreground and background. |
| |
| Keywords: | HSI color space Gaussian mixture model（GMM） moving-object detection |
| 本文献已被 维普 等数据库收录！ |
