种特征

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究，主要包括：首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法，改进了均值迁移方法步长取值保守的弱点，建立了快速均值迁移方法，证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法；进行了平面和3维随机分布数据集的最大概率密度搜索对比试验，试验结果表明，快速均值迁移方法大大减少了迭代次数；建立了基于快速均值迁移的目标跟踪方法，利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像，对人脸和汽车目标跟踪性能分别进行了对比试验，并进行了高噪声人脸图像目标跟踪试验，结果表明，基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能，具有很强的抗干扰能力；建立了一种新型彩色目标自动识别方法，采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算，建立了高效的搜索方法，实现了彩色目标的快速识别；将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合，建立了带有控制系统的快速目标自动识别与跟踪系统，并在不同场景下进行了目标自动识别与跟踪试验，验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

In this paper, searching technology of product information based on knowledge was researched. On the aspect of cognition, we researched the relation between user\'s cognition and designer\'s cognition, explored the knowledge flow in the process of product development, set up a matching model between user\'s knowledge and designer\'s knowledge, brought forward a modeling method based on users\' cognition, and set up a measurable model of product feature; coded and decoded product form element, set up a computer aided product form design system and image evaluating system based on the result of measurement. Accordingly, the product style and product image were systematically discussed, the recognition space of product style and image was constructed, the factors that affect product style and image were put forwards and analyzed, and the relation between product image and form elements was tested by experiments. Furthermore, the product automatic recognition technologies were discussed.And then, with the media of concept model and the kernel of parameter technology, a mathematic model that describing product layout design by constraints and rules was presented. Furthermore, a product design integration system based on imagery thinking including product fonii base system based on imagery thinking, product form design system based on imagery thinking and product form intelligent design system based on space layout were set up, which tested the system and provided a new way for product innovative design.

本文以产品特征描述目标对象——产品，研究一种基于知识的产品信息检索技术，在对产品的认知方面，研究了用户认知和设计师认知之间的关系，研究了产品开发过程中的知识流传递过程，建立了用户知识和设计知识之间的匹配模型，提出了一种基于用户知识的产品建模方法，它不但提取了产品的特征，还建立了产品特征量化模型，从而实现了产品知识的量化描述；对产品造型元素进行分解和编码，利用实验量化结果构造计算机辅助产品形状设计系统和心象评价系统；使用量表分析造型元素的心象尺度，构造输入、输出系统，建立了产品设计知识库咨询系统，可以方便用户和设计师来导入或查询产品设计方案；实现了对产品造型心象的分类知识库系统，便于设计师存储或查询，辅助设计师进行产品创新设计；通过实验量化了产品造型参数和产品心象参数之间的关系，并在此基础上建立了基于心象的产品形状设计系统，为产品空间布局方案智能生成系统奠定基础；在基于知识库的基础上建立了产品空间布局方案智能生成系统，通过更改概念产品造型参数，实现了产品设计方案的智能生成，使系列化的设计工作变得十分方便；将产品的心象运用到实际设计过程中，能够引导流行趋势，创造出产品无形的设计价值。

PCA is not only used as feature extracting method (where process variables are subjected to multivariate normal distribution), but also as a tool for dimension reduction; BSA is used to extract independent features or process blind source signals from process information in information theory sense, which is more effective than PCA in describing the process.

主元分析方法不仅作为一种过程特征的提取方法（在过程信息服从多元正态分布的情况下），而且也作为一种过程数据降维的主要工具（在过程盲源信号提取的情况下）；盲源信号分析是从信息论的角度，从过程信息中提取出尽可能独立的过程特征信号或过程原始信源信号，它具有比主元分析更好的刻画过程运行特征的性能。

Current researches show little attention to this structure and thus this paper is devoted to an overall understanding of this structure. The content of this thesis focuses on the following three aspects:First, when restricting the potential semantic range of noun phrases with its own proposition, the modifying clauses in English and Chinese share the same semantic features. That is to say, the modified noun phrase and the predicate of the clause depend on each other for existence. This semantic restrictiveness is obligatory for the clause and the noun phrase it modifies in both languages. Second, though sharing the same potential conceptual meaning, the combination of a clause and its modified noun phrase shows different syntactic position in surface structure as well as the inner structure of the clause. Based on a full description of syntactic characteristics of this kind of clause, the present thesis points out the differences and similarities existing in surface structure between English and Chinese. Finally, under the guidance of Chomskys Minimalist Program(1995), the thesis analyses the derivational processes of this structure in both languages.

现有的对比研究对于该结构的探讨，不论是在描述和解释上都是不完备的，为了深化这一句法结构的认识，本文从如下几个方面对英汉分句作定语修饰名词的现象进行了对比：首先，分句用自身的命题限制中心名词的语义范围时，在两种语言中具有相同的语义特征，即中心名词与分句内部的谓词之间存在依存关系，分句修饰名词必然受到语义的限制，是英汉两种语言必须共同遵守的准则；其次，英汉两种语言中表达相同概念意义的这一句法单位与其修饰的名词结合后，在表层结构中体现出不同的位置关系，且分句内部的句法结构也各有特点，本文在充分对其句法特征描述的基础上，指出二者在表层形式上的差异和共性；最后，尝试在乔姆斯基的最简方案(1995)框架内，演示英汉两种语言。

With the limitation of the line detection based on traditional Hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. Finally, the whole process of airport target recognition is presented and the result images are also given.

使用分形方法提取目标的特征，在知识指导下，提出了一种基于目标特征模型的降维的形态学分形维数计算方法，对传统分形方法进行了改进，从理论上推证了算法的合理性，并对算法进行了仿真分析；针对传统Hough变换无法获得线段端点和长度信息的局限性，提出了一种基于目标特征先验知识的Hough变换融合策略，通过引入目标先验知识，可以有效地获得直线信息；对信息多而复杂的机场目标采用基于知识的目标识别方法，使用置信度模摘要型实现不确定推理，对目标进行识别判断，将知识贯穿于整个识别过程中，对目标进行了有效地识别。

Based on the analysis to the particularity of the cruise missile attacking, a complete recognition method based on the knowledge is developed. A new fractal-based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. With the limitation of the line detection based on traditional Hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. Finally, the whole process of airport target recognition is presented and the result images are also given.

使用分形方法提取目标的特征，在知识指导下，提出了一种基于目标特征模型的降维的形态学分形维数计算方法，对传统分形方法进行了改进，从理论上推证了算法的合理性，并对算法进行了仿真分析；针对传统Hough变换无法获得线段端点和长度信息的局限性，提出了一种基于目标特征先验知识的Hough变换融合策略，通过引入目标先验知识，可以有效地获得直线信息；对信息多而复杂的机场目标采用基于知识的目标识别方法，使用置信度模型实现不确定推理，对目标进行识别判断，将知识贯穿于整个识别过程中，对目标进行了有效地识别。

Innovatory ability is not only a kind of intelligence characteristic, but also a kind of personality characteristic, a kind of mental state, and a kind of synthesizes character.

创新能力也绝不仅仅是一种智力特征，更是一种人格特征，是一种精神状态，是一种综合素质。

The energies in different scales after the wavelet decomposition respectively are applied to extract feature, and absorptive method based on Dempsters rule is used in feature fusion of multi-source information. The results of the simulations between absorptive method and nearest neighbor method are compared, which show the effectiveness of evidence reasoning used in multi-target recognition.

利用了小波分解尺度细节信号能量特征作为四类目标声信号提取的特征，采用基于D-S的新组合规则吸收法对多传感器信息进行特征融合，并对吸收法及最近邻法两种情况下的识别效果进行了对比，仿真结果表明证据推理为声信号多目标识别提供了一种有效的方法。

Principal component analysis is a successful feature detection method for pattern recognition. It is the optimal dimension compression technique based on second-order information in the sense of mean-square error.

主分量分析是一种在众多生物特征识别中获得成功应用的特征提取技术，是一种基于二阶统计的在最小均方误差意义上的最优维数据压缩技术，它所提取的各特征分量之间是互不相关的。

Liquor production techniques and liquor taste was believed as the creature of the age.Accordingly,traditional liquor flavor type classification theory was out-of-date because its use would inhibit further development of liquor-making industry.Liquor produced by the integrated production techniques of two kinds of liq...

综合两种香型酒的生产工艺可生产出兼有两种香型特征的酒，或用两种香型的基础酒勾兑出兼有两种香型特征的酒，可丰富白酒品种，满足时代消费需求，尤其可克服新工艺白酒同质化的问题。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。