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2011 4th International Congress on Image and Signal Processing最新文献

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ACO contour matching: A dominant point approach. 蚁群算法轮廓匹配:一种优势点方法。
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100471
C. Di Ruberto, Andrea Morgera
{"title":"ACO contour matching: A dominant point approach.","authors":"C. Di Ruberto, Andrea Morgera","doi":"10.1109/CISP.2011.6100471","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100471","url":null,"abstract":"In computer vision research field shape matching plays a central role. A typical approach is based on the analysis of contour points of the objects. In many cases this task is faced by taking into account a contour subset made up by dominant points. This paper is based on a shape matching technique described in [1] by using dominant points as contour points set. In order to obtain better results we adopt modified shape descriptors (shape contexts) by getting rotational invariance. Experimental results demonstrate the accuracy improvement and the computational time reduction.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125853092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Abstrações: An audiovisual installation based on motion recognizing Abstrações:一个基于动作识别的视听装置
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100348
Clayton Mamedes, Denise H. L. Garcia, José Fornari, J. Manzolli
{"title":"Abstrações: An audiovisual installation based on motion recognizing","authors":"Clayton Mamedes, Denise H. L. Garcia, José Fornari, J. Manzolli","doi":"10.1109/CISP.2011.6100348","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100348","url":null,"abstract":"This paper aims to present an overview on Abstrações, an audiovisual installation controlled by video motion parameters. This article focuses on an implemented state machine model, the interaction between video motion recognition, the audio and video processing and the states of its implementation.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A closed-form DOA estimation formula of multiple coherent waves for uniform linear array 均匀线性阵列中多相干波的闭式DOA估计公式
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100696
Hanyang Li, K. Ichige, H. Arai
{"title":"A closed-form DOA estimation formula of multiple coherent waves for uniform linear array","authors":"Hanyang Li, K. Ichige, H. Arai","doi":"10.1109/CISP.2011.6100696","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100696","url":null,"abstract":"This paper presents a closed-form DOA(Direction-Of-Arrival) estimation formula of coherent waves received by ULA (Uniform Linear Array). The proposed DOA estimation formula does not employ eigendecomposition, iteration, optimization or space averaging, therefore it requires very low computational cost but achieves high resolution. Surprisingly, the present simple DOA estimator has almost the same accuracy with (and sometimes better than) major conventional DOA estimation algorithms. The estimation accuracy and the computational cost are evaluated through computer simulation in comparison with those by some major conventional algorithms.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An e-Textile human gesture ontology model e-Textile人体手势本体模型
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100515
Lin Xin, Xue-fen Wan, Zheng Tao
{"title":"An e-Textile human gesture ontology model","authors":"Lin Xin, Xue-fen Wan, Zheng Tao","doi":"10.1109/CISP.2011.6100515","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100515","url":null,"abstract":"Wearable devices based on e-Textile would be employed to monitor human gesture continually without invasiveness. An ontology model for 3D modeling of the back end software of smart shirts is discussed. The design adopt Foundational Model of Anatomy and ISO/IEC FCD 19774∶200x as reference, comprising three sub-models. The design principles, associations, layouts and high level abstraction of Anatomy Taxonomy, Spatial-Temporal Hierarchy, and Morphological Transformation are focused and illustrated.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An efficient framework for analyzing periodical activities in sports videos 一种分析体育录像中周期性活动的有效框架
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6099930
Yafei Ren, Bo Fan, Weiyao Lin, Xiaokang Yang, Hongxiang Li, Wei Li, Donghua Liu
{"title":"An efficient framework for analyzing periodical activities in sports videos","authors":"Yafei Ren, Bo Fan, Weiyao Lin, Xiaokang Yang, Hongxiang Li, Wei Li, Donghua Liu","doi":"10.1109/CISP.2011.6099930","DOIUrl":"https://doi.org/10.1109/CISP.2011.6099930","url":null,"abstract":"In this paper, we propose a new and efficient framework for analyzing periodical activities in sports videos. The proposed framework first locates the motion patterns (MP) in each frame. By analyzing these located motion patterns with the proposed MP-analysis algorithm, the periodical sports activities can be effectively detected and counted. Furthermore, the qualified and unqualified actions can also be efficiently differentiated. Experimental results on various sports videos including dumbbell and weightlifting demonstrate the effectiveness of our proposed framework.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122321782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
The registration method of seal based on circular template 基于圆形模板的印章注册方法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100628
Jisheng Liang, Hui Wang, Man Zhang
{"title":"The registration method of seal based on circular template","authors":"Jisheng Liang, Hui Wang, Man Zhang","doi":"10.1109/CISP.2011.6100628","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100628","url":null,"abstract":"Faced with the problem of registration of round seal, this paper proposes a method to register seal, which uses round template to do that and effectively reduces the computational. This article designs six round templates of different frequencies. At first in this paper seal image is transformed from Cartesian coordinate system to polar coordinate system, and in the polar coordinate system it uses round templates to do convolutions independently with reserved seals and ones to be verified, and then it devises a function by convolution results. Optimum registration angle can be gained by minimization of the function. Experiments show that this method is satisfied and it can be applied into practical situation.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"376 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Fast corner detection of high contrast image based on mathematical morphology and Curvature Scale Space 基于数学形态学和曲率尺度空间的高对比度图像快速角点检测
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100585
Zhenxing Cai, Zhong Wang, Lin Li, Yan Sun
{"title":"Fast corner detection of high contrast image based on mathematical morphology and Curvature Scale Space","authors":"Zhenxing Cai, Zhong Wang, Lin Li, Yan Sun","doi":"10.1109/CISP.2011.6100585","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100585","url":null,"abstract":"In this paper, we propose a fast method based on mathematical morphology and Curvature Scale Space (CSS) to detect corners of the high contrast image. Firstly, we use the grayscale iteration threshold algorithm to segment the image; secondly, mathematical morphology operation is used to extract edge of the corresponding binary image; at last, we detect the corners through the CSS corner detector. The proposed method was evaluated over the escape wheel image. We compared the proposed method to other corner detector method, and the results showed that the proposed method offers a fast and effective solution.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114273784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wavelet-based contourlet packet coding using an EBCOT-like algorithm 基于小波的contourlet包编码，使用类似ebcot的算法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100353
Zhenghua Shu, Guodon Liu, Qing Xie, L. Zeng, Lixin Gan
{"title":"Wavelet-based contourlet packet coding using an EBCOT-like algorithm","authors":"Zhenghua Shu, Guodon Liu, Qing Xie, L. Zeng, Lixin Gan","doi":"10.1109/CISP.2011.6100353","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100353","url":null,"abstract":"In this paper, an image coding algorithm based on a rate-distortion optimized wavelet-based contourlet packets (WBCP) decomposition and on a block-partitioning coding scheme which quantizes each subband separately is proposed. In this way, our algorithm naturally overcomes the difficulty in defining parent-child relationships for wavelet-based contourlet packets subbands, which exists in the zerotree based methods. The main merit of the proposed method is that the contourlet transform can provide optimally sparse representation of objects with singularities along c2 edges and the wavelet-based contourlet packets (WBCP) can decompose the high frequency parts of the images which are not decomposed in discrete wavelet transform. The experimental results show that the proposed algorithm significantly outperforms SPIHT and JPEG2000 schemes and also surpasses recent WBCP based image coding algorithms, in terms of both PSNR and visual quality.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129520920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Novel variable step-size adaptive LMS time delay estimation algorithm with nonlinear preprocess 基于非线性预处理的变步长自适应LMS时延估计算法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100748
Yongdong Sun, Xiao-xia Duan, Wei Zhao, Yuan-yuan Kan
{"title":"Novel variable step-size adaptive LMS time delay estimation algorithm with nonlinear preprocess","authors":"Yongdong Sun, Xiao-xia Duan, Wei Zhao, Yuan-yuan Kan","doi":"10.1109/CISP.2011.6100748","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100748","url":null,"abstract":"According to the characteristic of impulsive noise environment, a new class of time delay estimation algorithms which combine the nonlinear preprocess and variable step-size adaptive time delay estimation is presented in this paper. The performance of these new algorithms is compared with traditional time delay estimation method under both Gaussian and impulse noise environment. The results show that the new methods can achieve better effect on robustness, convergence rate and delay precision.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Pedestrian detection based on improved HOG feature and robust adaptive boosting algorithm 基于改进的 HOG 特征和鲁棒性自适应提升算法的行人检测
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100439
Jiefa Wu, Sheng Yang, Lingling Zhang
{"title":"Pedestrian detection based on improved HOG feature and robust adaptive boosting algorithm","authors":"Jiefa Wu, Sheng Yang, Lingling Zhang","doi":"10.1109/CISP.2011.6100439","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100439","url":null,"abstract":"Feature extraction and statistical classification methods are widely used in the object detection procedure. In this paper, improved Histograms of Oriented Gradients (HOG) features are used to represent the edge information of images. After that, HOG and Haar features are extracted to illustrate the performance of different types of features. Furthermore, the decision tree for classification is trained by Gentle Adaboost algorithm which selects some weak learners. Finally, we employ a novel detection method to get an outstanding and visual output. Experiments show that the improved method gets a good performance.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128209784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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