较强光照下肤色结合发色检测人脸的方法研究

研究了基于不同颜色空间的人脸检测算法,并在此基础上针对较强光照条件下或肤色与背景色比较接近时检测算法可能会将人脸检测为背景的情况,提出了一种新的基于肤色和发色的人脸检测自适应算法。实验结果表明,即使在较强光照条件下或肤色与背景比较接近时,该算法一样能准确地检测到正面或略有倾斜的人脸。

基于多特征协同的人头检测新方法

针对现有人头检测算法需提前设置模板参数问题,提出了一种基于多特征协同的人头检测新方法.该方法使用发色与自适应轮廓双重特征对人头部实现检测,提高计算速度的同时保证检测的正确率.算法以YCbCr彩色空间实现目标发色表示,根据发色模板对候选区域进行分割并提取特征,建立自适应轮廓模板,并引入梯度幅值和方向信息,对图像噪声有很强的抑制能力.实例实验结果表明,与传统检测算法比较,本文方法目标检测时间更短,且目标识别率更高.

基于计算机视觉的人流量双向统计

提出了一种采用视频监控系统对人行通道口进行双向人流量计数的方法。首先建立发色模型与头部形状模型,采用形态学运算提取人的头部目标,然后跟踪目标建立人头目标移动链,依据目标链位置信息判别行人的进出方向,最后设置感兴趣的检测区域,并对通过该检测区域的行人计数。实验结果表明,该方法能实时有效地统计通道口处双向人流量。

基于几何约束的人脸检测研究

提出并实现了一种新的基于颜色空间的人脸检测算法;在充分考虑人脸与头发的颜色特征与几何关系的基础上,给出了一种用于人脸和头发表达的几何模型,在对肤色区域和头发区域分别进行检测后,根据不同区域之间的几何关系,通过几何约束对人脸和头发可能存在的区域进行特征判别。对不同姿态的人脸进行检测的结果表明了算法的可行性和鲁棒性。

多姿态小目标人脸检测算法研究

由于人脸在不同的环境、背景等情况下有着不同的视觉效果,同时人脸本身有着细致复杂的模式变化,一般传统的检测方法都是针对正面五官清晰的人脸,而对于多姿态或小目标人脸检测效果不佳,由此提出了一种在光线补偿下基于人脸和头发几何约束的检测算法。该算法首先分别依据肤色和发色的色彩空间模型分割出目标区域,再利用几何约束特点检测出人脸。实验结果表明,相比于特征提取和模板匹配的人脸检测算法,该算法对于五官模糊的小目标人脸以及面部特征不齐全的多姿态人脸具有较高的检测精度。

基于自适应mean shift算法的多人头检测

基于均值偏移(mean shift)分割算法需人工进行带宽选择和耗时长问题,本文利用直方图密度估计与真实密度之间局部协方差最小来进行自动带宽计算方法。将该方法应用于彩色图像多人头的检测中,可以有效克服因发色模型检测出现的漏检现象,该方法首先利用mean shift自动分割图像,然后利用图像的灰值形态学来增强发色的灰度特性后进行二值化,在此基础上,采用二值形态学的膨胀腐蚀算法进行预处理,从而得到若干个候选区域最后利用轮廓的几何特征综合判断这些区域是否为人头。实验结果表明:自适应带宽的mean shift算法可快速完成,并具有较好的分割,该方法显示了良好的适用性,在检测目标发色出现白发和染色情况下,不会造成漏检,克服了发色模型检测的缺陷。

Functional Integrals and Collective Excitations in Boson-Fermion Model

In this paper, collective excitations in the boson-fermion model are investigated by means of functional integration method. The equations of energy gap and excitation spectrum are derived. Moreover, the Bose energy spectrum of zero wave vector Fermi fields is also calculated.

High Energy ^-pp and pp Elastic Scatterings in QCD Inspired Model

We propose QCD inspired model to calculate ^-pp and pp elastic scatterings at high energies in this paper. A calculation for total cross section of ^-pp and pp is performed in which the contributions from gluon-gluon, quark-quark, and gluon-quark interactions are included. Our results show that the QCD inspired model gives a perfect fit to experimental data of total cross section both for ^-pp and pp elastic scatterings at the whole energy region where experimental data existed at FNAL and CERN.

Development?A Study based on Spatial Effects and Threshold Characteristics

As a pivotal element within the modern service industry,tourism possesses the capacity to reconfigure regional economic dynamics,alter resource flow patterns,and notably influence urban green development.By establishing an evaluation index system for urban green development across 60 prefecture-level cities within the Yellow River Basin from 2006 to 2021,this study employs the spatial Durbin model to delve into the nonlinear relationship between the tourism economy and urban green development.Furthermore,it investigates the heterogeneous impact of the tourism economy on green development across varying levels of urbanization.This study reveals several key findings:(1)Both tourism economy and urban green development exhibit significant spatial clustering,with tourism economy showing“midstream>downstream>upstream”and urban green development showing“downstream>midstream>upstream”.(2)The tourism economy exerts a non-linear positive influence on the green development of cities,characterized by a non-linear inverted“S”shape in its direct impact and a nonlinear“S”shape in its indirect impact.(3)As urbanization rate level escalate,the positive influence of the tourism economy on urban green development follows a non-linear trajectory,initially declining before ascending.Specifically,when the urbanization rate level is below the first threshold value,the tourism economy notably promotes urban green development.However,between the first and second threshold values,this positive impact diminishes,only to rebound beyond the second threshold value.

Evaluation and Driving Force Analysis of Marine Sustainable Development based on the Grey Relational Model and Path Analysis

With the rapid development of the marine economy,the demand for marine resources development and the pressure on marine environmental protection are gradually increasing.It is critical to evaluate and analyze the driving forces of marine sustainable development in order to promote the coordinated development of the marine economy,resources and environment.Taking Jiangsu Province of China as an example,this paper constructs an evaluation index system for marine sustainable development from the three aspects of marine economy,resources and environment,and calculates the weight of the variation coefficient for each indicator.Based on the grey relational model,the average value of the relational degree,calculated by the average value method of correlation coefficients and the weighting method,is then used to evaluate the status of marine sustainable development in this province.The comprehensive index model is used to analyze the dynamic trend of the evolution of marine sustainable development.The driving forces of marine sustainable development are analyzed by the path analysis method combined with the average values of the grey relational degree for each indicator.This analysis found that the marine sustainable development in 2016 and 2012 was good,the situation in 2007 was bad,and the remaining years were intermediate.Compared with the previous years,the optimal conditions of 2008 and 2012 were obvious.The main driving factors of marine sustainable development are cargo throughput of coastal ports,economic losses caused by storm surges in coastal areas,the area of marine nature reserves in coastal areas,coastal wind power generation capacity,and marine biodiversity.

Estimating the Spatial and Temporal Changes in the Green Development Level in Beijing during 2006–2016

Green development is an important way to achieve global sustainable development goals, and has become one of the main research hotspots in recent years. Balancing economic development and environmental protection has turned out to be a great challenge in Beijing, the capital of China, which can provide some suggestions on ecological civilization construction and green development for other cities. However, there have been limited studies on this crucial topic. Therefore, based on the statistical data for Beijing from 2006 to 2016, this paper constructed the green development evaluation system of Beijing, and used the Projection Pursuit Model and spatial analysis method to analyze the spatial and temporal changes in its green development level. We also aimed to further explore the influences of key factors on green development. Our results illustrated that:(1) the overall and average levels of green development in Beijing showed significant increasing trends;(2) there are obvious spatial differences in green development among districts in Beijing, with the outer districts showing higher values;and(3) the environmental condition and human consumption were two important factors driving the green development in Beijing.