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2015 8th International Congress on Image and Signal Processing (CISP)最新文献

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A fast algorithm for designing the transmitted waveform and receive filter of MIMO radar MIMO雷达发射波形和接收滤波器的快速设计算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408095
Hao Wu, Zhi-yong Song, Yunxiang Li, Q. Fu
{"title":"A fast algorithm for designing the transmitted waveform and receive filter of MIMO radar","authors":"Hao Wu, Zhi-yong Song, Yunxiang Li, Q. Fu","doi":"10.1109/CISP.2015.7408095","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408095","url":null,"abstract":"The authors study the problem of the transmitted waveform and the receiving filter design for multiple-input multiple-output (MIMO) radar in signal-dependent interference environment. The mean-square error of point target scattering coefficient estimate is considered to represent the measurement of the system. A fast computational approach is proposed to obtain optimal pairs for the transmitted waveform and receive filter. The proposed algorithm basing on fractional programming and power method-like iterations is efficient. Furthermore, this algorithm can address constant modulus constraint and peak-to-average-power ratio (PAR) constraint on the transmitted waveform. The effectiveness of this approach is demonstrated by numerical simulations.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116605891","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 accelerated method to predict the quality of decoded images in fractal image coding 分形图像编码中一种快速预测解码图像质量的方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407873
Qiang Wang, Sheng Bi, Guohua Jin
{"title":"An accelerated method to predict the quality of decoded images in fractal image coding","authors":"Qiang Wang, Sheng Bi, Guohua Jin","doi":"10.1109/CISP.2015.7407873","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407873","url":null,"abstract":"With many observations, we find that there exists a logarithmic relationship between the average collage error (ACER) and the quality of decoded images. By making use of the ACER in the encoding process, the quality of decoded images can be predicted without fractal decoding. In order to shorten the prediction process further, an accelerated version of the prediction method is proposed. By theoretical derivations and analyses, a low limit of accumulated collage error (LLPACE) is introduced which provides an effective way to evaluate the percentage of total collage error accounted by the accumulated collage error (ACE). Experiments show that for either basic fractal coding or other three fast fractal coding methods, the accelerated prediction method can provide satisfying performance and reduce about one third of total computations in the encoding process.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116822728","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
Robust blind extracting audio watermarking based on quadrature Phase Shift Keying and Improved Spread Spectrum 基于正交相移键控和改进扩频的音频水印鲁棒盲提取
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407991
Xiaoyun Liang, Yueyang Chen, Yueting Shi, Xiangnan Li, Ziwen Ma
{"title":"Robust blind extracting audio watermarking based on quadrature Phase Shift Keying and Improved Spread Spectrum","authors":"Xiaoyun Liang, Yueyang Chen, Yueting Shi, Xiangnan Li, Ziwen Ma","doi":"10.1109/CISP.2015.7407991","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407991","url":null,"abstract":"In this paper, a robust blind extracting audio watermarking scheme based on Improved Spread Spectrum (ISS) and Quadrature Phase Shift Keying (QPSK) is proposed. The frequency of direct spread spectrum sequence signal is reduced to limit its bandwidth, and then modulated to a higher frequency band with QPSK so as to lower the influence of watermarking to listener, meanwhile improve signal-noise ratio (SNR). The amplitude of watermarking to be embedded is determined by the correlation of spread spectrum (SS) sequence and the high frequency part of host audio signal. Experimental results show that the proposed scheme is more robust and transparent than traditional ISS watermarking.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117320695","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: 2
The simulated mouse method based on dynamic hand gesture recognition 基于模拟鼠标的动态手势识别方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408120
Xue Xue, Wei Zhong, Long Ye, Qin Zhang
{"title":"The simulated mouse method based on dynamic hand gesture recognition","authors":"Xue Xue, Wei Zhong, Long Ye, Qin Zhang","doi":"10.1109/CISP.2015.7408120","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408120","url":null,"abstract":"The existing simulated mouses are mostly based on the hand tracking technique, which depend on the data gloves, remote controllers or other equipment, leading to high costs and severe user limits. In this paper, we develop a new kind of simulated mouses by employing dynamic hand gesture recognition in which the palm node is detected by a Kinect camera. According to the movements of users in real world, we can realize the virtual control of the computer mouse. In the Kinect, since the palm node is defined as a skeleton one, those complicated operations, such as the motion detection, target classification and gesture tracking which are used in the hand tracking, are all omitted. Furthermore, our proposed simulated mouse does not rely on any other auxiliary equipment, relieving the limits on users. Experimental results show that under the same testing environment, the proposed simulated mouse can achieve the gesture recognition rate by 99.2%, 21.4% higher than that of the hand tracking one.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129868529","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: 2
Design of a LED constant-current driver using a novel hysteresis-current control method with adaptive off-time control 采用自适应断时控制的滞后电流控制方法设计LED恒流驱动器
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408131
Honghui Deng, Liuwei Shan, Yongsheng Yin, Guangfa Si, Yuqing Sun
{"title":"Design of a LED constant-current driver using a novel hysteresis-current control method with adaptive off-time control","authors":"Honghui Deng, Liuwei Shan, Yongsheng Yin, Guangfa Si, Yuqing Sun","doi":"10.1109/CISP.2015.7408131","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408131","url":null,"abstract":"A novel adaptive off-time (AOT) technique, which is applicable to the circuit design of an AC-DC constant-current LED driver using hysteresis-current control method, is proposed in this paper. The AOT is achieved by a novel off-time control method, which is based on the combination of peak-current-loop and error sample feedback-loop, to solve the problem that peak current is not consistent with average current due to the constant off-time (COT) technique in the typical low side current sense topology. Output current magnitude is controlled by sense resistor. The simulation result shows that the average current error is no more than 1.1%. The average current achieves less than 1.5% variation in the output voltage range from 20V to 100V, which means good load regulation characteristic can be achieved. The design was implemented with TSMC' 0.25μm 40V BCD process.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128485080","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: 5
Identification of Wiener systems with non-invertible nonlinearity 非可逆非线性Wiener系统的辨识
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407878
Jing Ren, Guoqi Li
{"title":"Identification of Wiener systems with non-invertible nonlinearity","authors":"Jing Ren, Guoqi Li","doi":"10.1109/CISP.2015.7407878","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407878","url":null,"abstract":"In this paper, we develop a new method to identify Wiener systems. Unlike previous techniques for Winer system identification, our method allows the linear dynamic subsystem to be infinite-impulse response (IIR) and the nonlinear function to be non-differentiable, discontinuous and non-invertible. Two input sequences are designed to estimate the nonlinear function as well as the parameters in the linear system. The convergence analysis is also discussed and the performance of the proposed method is illustrated by simulations.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128521342","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
Learning local histogram representation for efficient traffic sign recognition 学习局部直方图表示的有效交通标志识别
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407955
Jinlu Gao, Yuqiang Fang, Xingwei Li
{"title":"Learning local histogram representation for efficient traffic sign recognition","authors":"Jinlu Gao, Yuqiang Fang, Xingwei Li","doi":"10.1109/CISP.2015.7407955","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407955","url":null,"abstract":"With the rising of intelligent vehicle technologies, traffic sign recognition become an essential problem in computer vision. Focusing on the traffic sign recognition under real-world scenario, this paper aims to develop novel local feature representation to improve the traffic sign recognition performance. Especially, with the local histogram feature as a basic unit, a novel histogram intersection kernel based dictionary learning method is proposed for feature quantization. Then a fast feature encoding approach based on look-up table is induced to improve the calculation effectiveness. The proposed recognition method achieves high performance on several off-line traffic sign databases, and has also been extended to recognize traffic sign in real-world videos. Extensive experiments have demonstrated the effectiveness of new method.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124548495","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
Internet of things: Architecture, technology and key problems in implementation 物联网:架构、技术及实施中的关键问题
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408082
Zhijia Yue, Wanrong Sun, Peijia Li, M. Rehman, Xiaodong Yang
{"title":"Internet of things: Architecture, technology and key problems in implementation","authors":"Zhijia Yue, Wanrong Sun, Peijia Li, M. Rehman, Xiaodong Yang","doi":"10.1109/CISP.2015.7408082","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408082","url":null,"abstract":"Internet of Things is the convergence of computing, Internet and mobile communication networks resulted by the development of third wave of information technology industry. This paper presents a study by first introducing the basic concepts and features of Internet of Things (IoT) followed by the introduction of the ubiquitous sensor networks (USN) architecture. A simplified model of the USN is also discussed. Furthermore, the key problems in the implementation of IoT are also discussed using the system model. Finally, two practical system model are designed on sensing layer based on ARM9 acquisition and transmission system.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129218372","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: 17
An effective real-time fingertip positioning system based on gradient information extraction from frame image sequences 基于帧图像序列梯度信息提取的有效实时指尖定位系统
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407899
An Wang, Haiming Lu, Huaxiang Lu
{"title":"An effective real-time fingertip positioning system based on gradient information extraction from frame image sequences","authors":"An Wang, Haiming Lu, Huaxiang Lu","doi":"10.1109/CISP.2015.7407899","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407899","url":null,"abstract":"This paper presents a writing-in-the-air fingertip positioning system using a camera as an input to a computer. The frame difference method is employed to extract the finger movement area and the vertical gradient is calculated in this area to extract the fingertip contour information. Then the fingertip is located by finger geometric properties. 1000-photos library is built to stimulate various operating environments and test the effectiveness of this system. The system achieves a speed of 100 frames per second (fps) with an accuracy rate of 97.0%.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121297222","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: 2
A new method for discovery of vegetation changes based on satellite ground photographs 基于卫星地面照片的植被变化发现新方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407996
Haiyan Xiao, Chuang Tong, Qiang Liu
{"title":"A new method for discovery of vegetation changes based on satellite ground photographs","authors":"Haiyan Xiao, Chuang Tong, Qiang Liu","doi":"10.1109/CISP.2015.7407996","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407996","url":null,"abstract":"The normalized difference vegetation index (NDVI) is widely used to detect ground vegetation based on remote-sensing satellite images. However, it is affected by deficiencies such as sensation to change in sun angle, atmospheric effects and noise contamination. As developing of high-resolution satellite ground photographs, a new approach of vegetation detection on ground photographs is proposed to automatically discover changes of vegetation on a specific area. The HSV color space is used to analyze vegetation areas, a new complexity index is defined to identify forest or grass. The experimental results show that the vegetation areas can be well separate from the Baidu satellite ground photographs and the changes of vegetation areas can be discovered using a set of new definitions of vegetation changes. The proposed method has potential to use in monitoring of plant ecology changes in agriculture, forestry human life environment. The new method can be used not only on the satellite ground photographs but also on the unmanned aerial vehicle images.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114343113","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
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