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model matching
相关语句
  模型匹配
    These improvements include: background model matching uses only the luminance information;
    包括:背景模型匹配只使用亮度信息;
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  model matching
We also propose the Haar wavelets method for 3D model matching.
      
A Distance Measure and a Feature Likelihood Map Concept for Scale-Invariant Model Matching
      
The key to making the proposed approach work is the use of appearance-based model matching and refinement which updates the estimated correspondences on each iteration of the algorithm.
      
This paper examines the connections between feedback stabilization and H∞ control, model matching problems and multivariable Nevanlinna-Pick interpolation problems for multidimensional or n-D linear systems.
      
In this paper, a new approach to the linear exact model matching problem for a class of nonlinear systems, using static state feedback, is presented.
      
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The video vehicle detection technique is an important research field of ITS. Based on the features of video vehicle detection, this paper improves the method of background subtraction using adaptive Gaussian mixture models. These improvements include: background model matching uses only the luminance information; ranking Gaussian mixture models according to weight and variance; selecting background model using monocular depth information; making dynamic adjustment of sampling rate. The experiments...

The video vehicle detection technique is an important research field of ITS. Based on the features of video vehicle detection, this paper improves the method of background subtraction using adaptive Gaussian mixture models. These improvements include: background model matching uses only the luminance information; ranking Gaussian mixture models according to weight and variance; selecting background model using monocular depth information; making dynamic adjustment of sampling rate. The experiments show that the segment quality is good, and real_time performance is greatly improved.

视频检测技术是智能交通系统研究中一个重要研究方向,根据交通流视频检测的特点,对基于混合高斯分布模型的自适应背景消除方法进行了改进.包括:背景模型匹配只使用亮度信息;将高斯分布模型按权值、方差排序;使用单目深度信息来确定背景;动态调整采样频度等.实验表明,本文提出的算法,分割效果较佳,分割的实时性大大增强.

This paper introduces a method of detection,tracking and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. This method is composed of three main steps. Firstly, background image can be extracted from the sequences and using which we can segment objects from input images. Secondly, perspective projection matrix is computed with camera calibration based on pin-hole model. Finally,region charactersare used for matched tracking, the establishment of...

This paper introduces a method of detection,tracking and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. This method is composed of three main steps. Firstly, background image can be extracted from the sequences and using which we can segment objects from input images. Secondly, perspective projection matrix is computed with camera calibration based on pin-hole model. Finally,region charactersare used for matched tracking, the establishment of object linkage and the recovery of 3-D information of the object. Model matching method is used for the classification of viehicles. Experiments show that the method is simple and feasible.

介绍了一种用固定的单摄像头拍摄交通图像,并从图像序列中检测、跟踪、分类车辆的方法。该方法大致可分为3部分:抽取背景图像和图像分割;基于针孔模型的摄像机定标,计算透视投影矩阵;利用区域特征进行匹配跟踪,建立目标链,恢复目标三维信息,采用模型匹配法对车型分类。实验证明方法是简单可行的。

Digital image processing was applied to the recognition system of license plate. In this system, the original image of license plate was firstly transformed, compressed, enhanced and horizontally rectified, then fixed in a position and cut apart by verge exam process. The characteristic extracting and model matching was used in character recognition. Verge exam arithmetic was used to correctly locate license plate and cut apart characters, and every character was recognized accurately and effectively through...

Digital image processing was applied to the recognition system of license plate. In this system, the original image of license plate was firstly transformed, compressed, enhanced and horizontally rectified, then fixed in a position and cut apart by verge exam process. The characteristic extracting and model matching was used in character recognition. Verge exam arithmetic was used to correctly locate license plate and cut apart characters, and every character was recognized accurately and effectively through applying feature value of it.

探讨了将数字图像处理技术应用于机车车辆牌照识别的基本方法.在图像预处理部分,选用灰度差倒数加权平均算法对源图像进行滤波处理;应用分段线性变换算法增强图像对比度.通过边缘检测算法对车辆牌照进行准确地定位及对文字进行分割,完成对车牌上的字符的识别是利用各个字符的图像和字体的特征值,对其中每个字符进行有效、准确的识别.

 
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