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- The paper introduces several classical methods for vision-surveillance using adaptive background models,such as the non-parametric model,W4 models,single Gaussian model and mixture Gaussian model and so on. 介绍了在视觉监控领域经常用到的几种基于自适应背景模型的经典方法,如非参数模型、W4模型、单高斯模型和混合高斯模型等。
- Moving Object Detection Based on Adaptive Background Model 基于自适应背景模型运动目标检测
- 1.For extracting motion objects, an adaptive background model with hierarchical Gaussian Mixture Model (HGMM) is proposed. 1.;在运动目标的提取中提出了一种自适应层次式混合高斯（GMM）背景模型，即HGMM。
- adaptive background model 自适应背景建模
- Comparison of Moving Target Detection Algorithms using Adaptive Background Models in Grayscale Video Sequences 基于灰度图像的自适应背景模型运动物体检测算法比较研究
- To improve the quality of motion segmentation, the background reconstruction and foreground mergence time control mechanism were incorporated into the adaptive mixture Gaussian background model. 对自适应混合高斯背景模型进行了改进，将背景重构和前景消融时间控制机制整合到传统自适应混合高斯背景模型中，以提高运动分割的质量。
- An adaptive background subtraction method is utilized to segment the moving regions and locate the positions of human bodies. 由自适应动态背景减除算法进行区域分割,确定人体的位置。
- Firstly, we built an adaptive background mixture models in the hue-saturation value (HSV) color space, and got the background quickly. 首先在色相、饱和度和亮度(HSV)颜色空间建立自适应的背景混合模型快速提取背景；
- A novel algorithm for moving detection, which employed adaptive background subtraction and symmetrical differencing method, was presented. 摘要提出一种基于动态阈值对称差分和背景差法的运动对象检测算法。
- Abstract A novel nonparametric multimodal background model was proposed to detect moving objects. 摘要提出了一种用于检测运动目标的非参数多模态背景模型。
- A novel nonparametric multimodal background model was proposed to detect moving objects. 摘要提出了一种用于检测运动目标的非参数多模态背景模型。
- Through introducing the hue saturation degree information, adaptive background updating and motion detection, vehicles can be distinguished from shadow. 通过引入色彩饱和度信息、自适应背景更新和运动检测，有效地区分阴影和车辆；
- Background modeling was based on mixture Gaussian model, which had strong adaptive capability for variety of external factors, such as illumination change, shadow, object shelter and etc. 采用混合高斯模型为码头背景建模，该模型可克服各种外部因素的影响，如光照变化、阴影、目标遮挡等，具有很强的适应能力。
- Background Model: You can specify the filename of another MDL or MDX that will be shown at the origin during your model preview.This can be useful for testing relative scale of a model. 背景模型：您可以选择另外一个MDX/MDL模型以显示在场景中心，这当您需要测试模型的相对尺寸时非常有用。
- The comparison of the calculation results and flight test data showed that the sea backscattering model of sea clutter was proper,which could be used for background model simulation. 理论仿真计算值与飞行试验数据的比较表明,所建的海面后向散射海杂波模型正确,可用于背景模型仿真。
- adaptive background mixture models 自适应的背景混合模型
- This paper presents a new method of the background modeling for detecting passenger. 提出了一种新的用于行人检测的背景模型建模方法。
- The author is going to adapt his play for television. 作者将把他的剧本改编成电视剧。
- One should adapt oneself to the changed conditions. 我们应当使自己适应变化了的情况。
- Based on image blocks, a method for constructing background models is presented to reduce computation redundancy arising from pixel-background model and to improve execution speed of the system. 摘要提出了一种基于图像分块的背景模型构建方法，目的是为了减少像素形式的背景模型所带来的计算冗余，提高系统的运行速度。
