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Active Object Tracking based on stepwise application of Region and Color Information 基于区域和颜色信息分步应用的活动目标跟踪
Pub Date : 2012-02-01 DOI: 10.3745/KIPSTB.2012.19B.2.107
Joonhyun Jeong, Kyu-Won Lee
An active object tracking algorithm using Pan and Tilt camera based in the stepwise application of region and color information from realtime image sequences is proposed. To reduce environment noises in input sequences, Gaussian filtering is performed first. An image is divided into background and objects by using the adaptive Gaussian mixture model. Once the target object is detected, an initial search window close to an object region is set up and color information is extracted from the region. We track moving objects in realtime by using the CAMShift algorithm which enables to trace objects in active camera with the color information. The proper tracking is accomplished by controlling the amount of pan and tilt to be placed the center position of object into the middle of field of view. The experimental results show that the proposed method is more effective than the hand-operated window method.
提出了一种基于逐级应用实时图像序列的区域和颜色信息的平移和倾斜相机主动目标跟踪算法。为了降低输入序列中的环境噪声,首先进行高斯滤波。采用自适应高斯混合模型将图像分割为背景和目标。一旦检测到目标物体,在靠近目标区域的地方建立一个初始搜索窗口,并从该区域提取颜色信息。我们使用CAMShift算法实时跟踪运动物体,该算法可以利用颜色信息跟踪活动相机中的物体。正确的跟踪是通过控制平移和倾斜的量来实现的,将物体的中心位置放置到视野的中间。实验结果表明,该方法比手动窗口法更有效。
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引用次数: 0
A Development of the Automatic Predicate-Argument Analyzer for Construction of Semantically Tagged Korean Corpus 语义标记韩语语料库构建的自动谓词-论证分析器的开发
Pub Date : 2012-02-01 DOI: 10.3745/KIPSTB.2012.19B.1.043
Jung-hyun Cho, HyunRyong Jung, Yu-Seop Kim
Semantic role labeling is the research area analyzing the semantic relationship between elements in a sentence and it is considered as one of the most important semantic analysis research areas in natural language processing, such as word sense disambiguation. However, due to the lack of the relative linguistic resources, Korean semantic role labeling research has not been sufficiently developed. We, in this paper, propose an automatic predicate-argument analyzer to begin constructing the Korean PropBank which has been widely utilized in the semantic role labeling. The analyzer has mainly two components: the semantic lexical dictionary and the automatic predicate-argument extractor. The dictionary has the case frame information of verbs and the extractor is a module to decide the semantic class of the argument for a specific predicate existing in the syntactically annotated corpus. The analyzer developed in this research will help the construction of Korean PropBank and will finally play a big role in Korean semantic role labeling.
语义角色标注是对句子中各要素之间的语义关系进行分析的研究领域,与词义消歧一样被认为是自然语言处理中最重要的语义分析研究领域之一。然而,由于缺乏相关的语言资源,韩语语义角色标注研究一直没有得到充分的发展。在本文中,我们提出了一个自动谓词-参数分析器来开始构建在语义角色标注中得到广泛应用的韩文PropBank。该分析器主要由语义词典和自动谓词参数提取器两部分组成。字典包含动词的格框信息,提取器是一个模块,用于为语法注释的语料库中存在的特定谓词确定参数的语义类。本研究开发的分析器将有助于韩语命题库的构建,并最终在韩语语义角色标注中发挥重要作用。
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引用次数: 1
Recognition of Facial Expressions of Animation Characters Using Dominant Colors and Feature Points 基于主色和特征点的动画人物面部表情识别
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.375
Seok-Woo Jang, Gye-Young Kim, Hyun-Suk Na
This paper suggests a method to recognize facial expressions of animation characters by means of dominant colors and feature points. The proposed method defines a simplified mesh model adequate for the animation character and detects its face and facial components by using dominant colors. It also extracts edge-based feature points for each facial component. It then classifies the feature points into corresponding AUs(action units) through neural network, and finally recognizes character facial expressions with the suggested AU specification. Experimental results show that the suggested method can recognize facial expressions of animation characters reliably.
提出了一种利用主色和特征点识别动画人物面部表情的方法。该方法定义了适合动画角色的简化网格模型,并使用主色检测其面部和面部成分。它还提取每个面部成分的基于边缘的特征点。然后通过神经网络将特征点划分为相应的AU(动作单元),最后根据建议的AU规范识别人物面部表情。实验结果表明,该方法能够可靠地识别动画人物的面部表情。
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引用次数: 1
Lossless Deformation of Brain Images for Concealing Identification 用于隐藏识别的脑图像无损变形
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.385
H. Lee, Du Ruo Yu
Patients` privacy protection is a heated issue in medical business, as medical information in digital format transmit everywhere through networks without any limitation. A current protection method for brain images is to deface from the brain image for patient`s privacy. However, the defacing process often removes important brain voxels so that the defaced brain image is damaged for medical analysis. An ad-hoc method is proposed to conceal patient`s identification by adding cylindrical mask, while the brain keep all important brain voxels. The proposed lossless deformation of brain image is verified not to loose any important voxels. Futhermore, the masked brain image is proved not to be recognized by others.
数字格式的医疗信息通过网络不受限制地到处传播,患者隐私保护成为医疗行业的热点问题。目前的一种脑图像保护方法是对脑图像进行污损处理,以保护患者的隐私。然而,损伤过程往往会去除重要的脑体素,从而损坏受损的脑图像,用于医学分析。提出了一种特殊的方法,通过添加圆柱形掩模来隐藏患者的身份,而大脑保留所有重要的脑素。验证了所提出的脑图像无损变形不丢失任何重要体素。进一步证明了被掩盖的脑图像不被他人识别。
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引用次数: 0
Generalization of error decision rules in a grammar checker using Korean WordNet, KorLex 使用韩文WordNet、KorLex的语法检查器中错误判断规则的泛化
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.405
Gil-Ja So, Seunghee Lee, H. Kwon
Korean grammar checkers typically detect context-dependent errors by employing heuristic rules that are manually formulated by a language expert. These rules are appended each time a new error pattern is detected. However, such grammar checkers are not consistent. In order to resolve this shortcoming, we propose new method for generalizing error decision rules to detect the above errors. For this purpose, we use an existing thesaurus KorLex, which is the Korean version of Princeton WordNet. KorLex has hierarchical word senses for nouns, but does not contain any information about the relationships between cases in a sentence. Through the Tree Cut Model and the MDL(minimum description length) model based on information theory, we extract noun classes from KorLex and generalize error decision rules from these noun classes. In order to verify the accuracy of the new method in an experiment, we extracted nouns used as an object of the four predicates usually confused from a large corpus, and subsequently extracted noun classes from these nouns. We found that the number of error decision rules generalized from these noun classes has decreased to about 64.8%. In conclusion, the precision of our grammar checker exceeds that of conventional ones by 6.2%.
韩语语法检查器通常通过使用启发式规则来检测上下文相关的错误,启发式规则由语言专家手动制定。每次检测到新的错误模式时,都会附加这些规则。然而,这样的语法检查器并不一致。为了解决这一问题,我们提出了一种新的泛化错误决策规则的方法来检测上述错误。为此,我们使用了一个现有的词库KorLex,它是Princeton WordNet的韩文版本。KorLex对名词具有分层的词义,但不包含关于句子中大小写之间关系的任何信息。通过基于信息论的树切模型(Tree Cut Model)和最小描述长度(MDL)模型,从KorLex中提取名词类,并从这些名词类中归纳出错误决策规则。为了在实验中验证新方法的准确性,我们从一个庞大的语料库中提取了通常混淆的四个谓语的宾语,然后从这些名词中提取了名词类。我们发现,从这些名词类中归纳出的错误决策规则的数量已经下降到64.8%左右。总之,我们的语法检查器的精度比传统的语法检查器高出6.2%。
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引用次数: 0
Fast Dynamic ROI Coding using the Mask Patterns in JPEG2000 基于JPEG2000掩码模式的快速动态ROI编码
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.349
Juong-Hyon Kang, Y. Seo
In ROI processing of JPEG2000, a region of large image indicated by the user must be processed preferentially, because it takes a considerable amount of time to display the full image. When the user indicates a region of the outlined image, then the browser masks the region and sends the mask information to the server that transmitted the outlined image. The server that receives the mask information preferentially sends the corresponding code blocks. Here, a quick generation of mask information is important. In this paper, we use 48 predefined mask patterns, which are defined according to the distribution shape of ROI and background to reduce the computing time. As a result, compared to other methods that precisely handles the ROI and background, the processing time of the method is remarkably reduced, but the quality is short of the existing methods just a little bit.
在JPEG2000的ROI处理中,必须优先处理用户指示的大图像区域,因为要显示完整的图像需要相当长的时间。当用户指示所述轮廓图像的一个区域时,浏览器对所述区域进行掩码并将所述掩码信息发送给传输所述轮廓图像的服务器。接收到掩码信息的服务器优先发送相应的码块。在这里,快速生成掩码信息很重要。在本文中,我们使用48个预定义的掩模模式,这些掩模模式是根据ROI和背景的分布形状来定义的,以减少计算时间。因此,与其他精确处理ROI和背景的方法相比,该方法的处理时间明显缩短,但质量仅略低于现有方法。
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引用次数: 2
A Study on Monitoring of Liver Function Based on Voice Signal Analysis for u-Health System 基于语音信号分析的u-Health系统肝功能监测研究
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.389
Bong-hyun Kim, Dong-uk Cho
There is getting worse to various liver diseases due to change in eating habits, stress, alcohol etc in modern society. Therefore, we proposed methodology to diagnose early for liver disease to study the influence on voice in liver diseases. To this end, we carried out experiment to apply parameter of voice analysis to collect each voice inpatients and patients by treatment of liver diseases patients. Particularly, we carried out experiment to apply element value of pronunciation and the third formant frequency bandwidths about velar sounds associated liver in oriental medicine, then to produce objective index resonance cavity and influence vocalization in liver diseases. In addition, we carried out to study about design of system to monitoring a liver function in u-Health environment based on result by experiment.
在现代社会,由于饮食习惯、压力、酒精等的改变,各种肝脏疾病越来越严重。因此,我们提出了肝病早期诊断方法,以研究肝病对声音的影响。为此,我们开展了应用语音分析参数的实验,收集住院患者和经治疗的肝病患者的各个语音。特别是利用东方医学中与肝脏相关的声部音的发音元值和第三共振峰频带进行实验,产生客观指标共振腔,影响肝脏疾病的发声。此外,在实验结果的基础上,对u-Health环境下肝功能监测系统的设计进行了研究。
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引用次数: 4
Detection of Gaze Direction for the Hearing-impaired in the Intelligent Space 智能空间中听觉障碍者注视方向的检测
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.333
Young-Joon Oh, K. Hong, Jongin Kim, K. Jung
The Human-Computer Interaction(HCI) is a study of the method for interaction between human and computers that merges the ergonomics and the information technology. The intelligent space, which is a part of the HCI, is an important area to provide effective user interface for the disabled, who are alienated from the information-oriented society. In the intelligent space for the disabled, the method supporting information depends on types of disability. In this paper, we only support the hearing-impaired. It is material to the gaze direction detection method because it is very efficient information provide method to present information on gazing direction point, except for the information provide location perception method through directly contact with the hearing-impaired. We proposed the gaze direction detection method must be necessary in order to provide the residence life application to the hearing-impaired like this. The proposed method detects the region of the user from multi-view camera images, generates candidates for directions of gaze for horizontal and vertical from each camera, and calculates the gaze direction of the user through the comparison with the size of each candidate. In experimental results, the proposed method showed high detection rate with gaze direction and foot sensing rate with user's position, and showed the performance possibility of the scenario for the disabled.
人机交互(HCI)是将人机工程学与信息技术相结合,研究人机交互方法的学科。智能空间作为人机交互的一部分,是为被信息社会异化的残疾人提供有效的用户界面的重要领域。在残疾人智能空间中,支持信息的方法取决于残疾人的类型。在本文中,我们只支持听障人士。对于注视方向检测方法来说,除了通过直接接触听障者提供信息的位置感知方法外,通过注视方向点提供信息是非常有效的信息提供方法。我们认为,为了给此类听障人士提供居住生活应用,必须采用注视方向检测方法。该方法从多视角相机图像中检测用户的区域,从每个相机中生成水平和垂直凝视方向的候选点,并通过与每个候选点的大小进行比较来计算用户的凝视方向。实验结果表明,该方法对注视方向具有较高的检测率,对用户位置具有较高的足部感知率,显示了该场景对残疾人的性能可能性。
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引用次数: 0
Block-based Image Authentication Algorithm using Differential Histogram-based Reversible Watermarking 基于差分直方图的可逆水印分块图像认证算法
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.355
D. Yeo, Hae-Yeoun Lee
In most applications requiring high-confidential images, reversible watermarking is an effective way to ensure the integrity of images. Many watermarking researches which have been adapted to authenticate contents cannot recover the original image after authentication. However, reversible watermarking inserts the watermark signal into digital contents in such a way that the original contents can be restored without any quality loss while preserving visual quality. To detect malicious tampering, this paper presents a new block-based image authentication algorithm using differential histogram-based reversible watermarking. To generate an authentication code, the DCT-based authentication feature from each image block is extracted and combined with user-specific code. Then, the authentication code is embedded into image itself with reversible watermarking. The image can be authenticated by comparing the extracted code and the newly generated code and restored into the original image. Through experiments using multiple images, we prove that the presented algorithm has achieved over 97% authentication rate with high visual quality and complete reversibility.
在大多数需要高机密图像的应用中,可逆水印是保证图像完整性的有效方法。许多用于内容认证的水印研究在经过认证后无法恢复原始图像。而可逆水印是将水印信号插入到数字内容中,在保持视觉质量的前提下,还原出原始内容而不损失任何质量。为了检测恶意篡改,本文提出了一种新的基于块的图像认证算法,该算法采用基于差分直方图的可逆水印。为了生成身份验证代码,从每个图像块中提取基于dct的身份验证特征,并将其与用户特定的代码组合在一起。然后,通过可逆水印将认证码嵌入图像本身。通过将提取的代码与新生成的代码进行比较,可以对图像进行身份验证,并还原为原始图像。通过多幅图像的实验,我们证明了该算法具有97%以上的认证率,且具有较高的视觉质量和完全可逆性。
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引用次数: 2
The Effect of Helium Gas Intake on the Characteristics Change of the Acoustic Organs for Voice Signal Analysis Parameter Application 氦气吸入对声器官特性变化的影响及其在语音信号分析参数中的应用
Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.397
Bong-hyun Kim, Dong-uk Cho
In this paper, we were carried out experiments to apply parameter of voice analysis to measure changing characteristic articulator according to inhale the helium gas. The helium gas was used to overcome air embolism nitrogen gas to deal a fatal blow in body nitrogen gas by diver. However, the helium gas has been much trouble interpretation about abnormal voice of diver to cause squeaky voice of low articulation. Therefor, we was carried out experiments about pitch and spectrogram measurement, analysis based on to influence in acoustic organs before and after of inhaled helium gas.
在本文中,我们进行了实验,应用语音分析的参数来测量根据吸入氦气特征变化的发音器。利用氦气克服空气栓塞性氮气,对潜水员体内氮气进行致命打击。然而,氦气一直困扰着潜水员异常声音的解释,造成低清晰度的尖细声音。为此,对吸入氦气前后对声学器官的影响进行了基音和谱图测量实验,并进行了分析。
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引用次数: 0
期刊
The Kips Transactions:partb
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