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2013 6th International Congress on Image and Signal Processing (CISP)最新文献

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Dynamic risk assesment for driver response in passing over obstacles 驾驶员越障反应的动态风险评估
Pub Date : 2013-12-16 DOI: 10.1109/CISP.2013.6743926
O. Yakut, H. Eren, M. Kaya, E. Oksuztepe, M. Polat, Z. Omac, D. Bekler, H. Kurum, M. Celenk
In the urban areas, drivers may need to step over obstacles for safety caution. At this stage, drivers have to slow down and move at low speed while passing over curbs. If there is an obstacle in front or back of the car, driver should step on the gas to speed up the car from zero to cautionary speed to pass over it. The obstacle in question could be curbs, bumper or rim over urban areas. In this scenario, we consider a particular obstacle, namely, a curb. Hence, the driver has to climb over the curb by stepping on the gas, which, in turn, creates a critical driving situation emerging risky move contemplating the car driven or pedestrians as well as obstacles around the car. In this work, depending on response time of driver, while car crosses over obstacle, lateral distance of car taken unintentionally have been estimated. Considering this distance, emerging risk by the situation has been investigated along with influence of height on risk severity experimentation. Relationship among response time of driver, obstacle height and unintentional moving backward distance is determined and presented as a parametric response or outcome function. The study is extended further for modeling unintentional driving behavior in passing over obstacle risk assessment. Subsequently, the undertaken research has enabled us to deduce compensation between the driver response, steep level and geometry of the curb. Furthermore, we give an assessment for estimating the risk causing of the driver response in passing over curb.
在城市地区,司机可能需要跨过障碍物以保持安全。在这个阶段,司机在通过路边石时必须减速和低速行驶。如果前面或后面有障碍物,司机应该踩油门,使汽车从零加速到警告速度,以超过它。问题中的障碍可能是城市地区的路缘、保险杠或轮辋。在这种情况下,我们考虑一个特定的障碍,即路边。因此,司机必须踩油门爬过路沿,这反过来又造成了危险的驾驶情况,考虑到驾驶的汽车或行人以及汽车周围的障碍物。在这项工作中,根据驾驶员的反应时间,在汽车越过障碍物时,估计了汽车无意中采取的横向距离。考虑到这一距离,研究了情况下出现的风险,并进行了高度对风险严重性的影响实验。确定了驾驶员响应时间、障碍物高度和非故意向后移动距离之间的关系,并将其表示为参数响应或结果函数。在此基础上,进一步扩展了对非故意驾驶行为越障风险评估的建模。随后,进行的研究使我们能够推断驾驶员响应,陡峭水平和路缘几何之间的补偿。此外,我们给出了一个评估的风险,以估计司机的反应,在通过路边。
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引用次数: 0
Power control based on game theory in cognitive radio 基于博弈论的认知无线电功率控制
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745233
Xue Qin, Bin Guo, Zhijun Wang, Xiaoyuan Yan
Power control is one of the key technologies in cognitive radio network. This article integrates game element into power control algorithm in cognitive radio. On the basis of traditional model, an improved cost function is presented. Combined with game theory, the existence and uniqueness of Nash equilibrium solution of the game model is proved. Simulation results suggest that the convergence of the proposed game algorithm based on new cost function is superior to the traditional algorithm, the equity of the system is also considered in a certain degree.
功率控制是认知无线网络的关键技术之一。本文将博弈元素融入认知无线电的功率控制算法中。在传统模型的基础上,提出了一种改进的成本函数。结合博弈论,证明了该博弈模型纳什均衡解的存在唯一性。仿真结果表明,本文提出的基于新成本函数的博弈算法收敛性优于传统算法,并在一定程度上考虑了系统的公平性。
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引用次数: 2
Face recognition via gradient projection for sparse representation 基于梯度投影的稀疏表示人脸识别
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745267
Cong Ma, Pingping Xu, Minhong Shang
For face recognition, we consider the problem of automatically recognizing human faces from frontal views with varying facial expression and illumination circumstance, as well as noise. In this paper, a new algorithm is proposed, which avoids the crucial issue of feature extraction in conventional face recognition. Firstly, we use the gradient projection method to improve the performance of sparse representation classification (SRC). And then, a new algorithm dubbed classified gradient projection for sparse representation (CGPSR) is proposed, which utilizes the classification information to enhance the performance for recognizing images with noise. Simulation results demonstrate that the proposed CGPSR algorithm outperforms the previously proposed SRC-based orthogonal matching pursuit (OMP) and has a good potential in the robustness to noise.
在人脸识别方面,我们考虑了在不同的面部表情、光照环境和噪声条件下,从正面自动识别人脸的问题。本文提出了一种新的人脸识别算法,避免了传统人脸识别中特征提取的关键问题。首先,我们使用梯度投影方法提高稀疏表示分类(SRC)的性能。在此基础上,提出了一种新的基于分类梯度投影的稀疏表示算法(CGPSR),该算法利用分类信息增强了对含噪图像的识别性能。仿真结果表明,所提出的CGPSR算法优于以往提出的基于src的正交匹配追踪(OMP)算法,在噪声鲁棒性方面具有良好的潜力。
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引用次数: 3
Optimized extended lapped transform and novel FPGA implementation 优化扩展叠接变换和FPGA实现
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6743916
Kai Wan, Yiqun Zhu
The Modulated Filter-Banks (MFB) has been adopted in communication standards because of its improved windowing function against Fast Fourier Transform (FFT) based Orthogonal Frequency Division Multiplexing (OFDM). It has shown better resiliency to Inter-Symbol Interference (ISI), Inter-Carrier Interference (ICI), Narrow Band Interference (NBI), and Frequency Selective Fading. The recently adopted MFB in industrial standards is called Perfect Reconstructed Cosine Modulated Filter-Banks (PR-CMFB). There are three types of structure for its implementation, Extended Lapped Transform (ELT), Lattice structure, and Polyphase structure. The ELT defeats the Polyphase and Lattice structures because it is suitable for Very Large Scale Integrated-Circuit (VLSI) implementation. However, there is no difference in computational complexity between them. This paper optimizes the ELT structure to bring out its potential in the VLSI implementation. The proposed ELT reduces the required number of multipliers by half. The implementation on Field Programmable Gate Array (FPGA) is done to approve that. The simulation results show the proposed ELT has doubled throughput and one thirds of logic elements (LEs) are reserved when comparing to the conventional ELT.
调制滤波器组(MFB)由于对基于快速傅里叶变换(FFT)的正交频分复用(OFDM)具有改进的加窗功能而被广泛应用于通信标准中。它对码间干扰(ISI)、载波间干扰(ICI)、窄带干扰(NBI)和频率选择性衰落具有较好的抗干扰能力。最近在工业标准中采用的MFB被称为完全重构余弦调制滤波器组(PR-CMFB)。其实现有三种类型的结构:扩展叠置变换(ELT)结构、点阵结构和多相结构。它克服了多相和点阵结构的缺点,适合于超大规模集成电路(VLSI)的实现。但是,它们之间的计算复杂度没有区别。本文对ELT结构进行了优化,以发挥其在VLSI实现中的潜力。所提出的ELT将所需的乘数减少了一半。为此,在现场可编程门阵列(FPGA)上进行了实现。仿真结果表明,与传统的ELT相比,该ELT的吞吐量提高了一倍,并且保留了三分之一的逻辑单元。
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引用次数: 0
Design and implementation of a 1024-point high-speed FFT processor based on the FPGA 基于FPGA的1024点高速FFT处理器的设计与实现
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745222
Sheng Zhou, Xiaochun Wang, Jianjun Ji, Yanqun Wang
To design a Fast Fourier Transform (FFT) processor to meet the needs for high-speed and real-time signal processing. A 1024-point, 32-bit, fixed, complex FFT processor is designed based on a field programmable gate array (FPGA) by using the radix-2 decimation in frequency (DIF) algorithm and the pipeline structure in the butterfly module and the ping-pone operation in data storage unit. When the primary clock is 100 MHz, the 1024-point FFT calculation takes about 62.95 us. The processor is fast enough for processing the high-speed and real time signals. The result provides reference values that theoretical study of the FFT algorithm can be applied into the adaptive dynamic filter of an ultrasonic diagnostic system and an ultrasonic Doppler flow measurement system.
设计快速傅里叶变换(FFT)处理器以满足高速实时信号处理的需要。摘要基于现场可编程门阵列(FPGA)设计了一种1024点、32位、固定的复杂FFT处理器,该处理器采用2进制频率(DIF)算法和蝶形模块中的流水线结构以及数据存储单元中的平电话运算。当主时钟为100 MHz时,1024点FFT计算大约需要62.95 us。处理器的速度足以处理高速和实时的信号。研究结果为FFT算法的理论研究可应用于超声诊断系统和超声多普勒流量测量系统的自适应动态滤波提供了参考价值。
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引用次数: 12
Multi-feature-based video object extraction 基于多特征的视频对象提取
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6744049
Linglin Wu, Xiaoyu Wu, Yiming Guo, Lei Yang, Yao Lu
We present a multi-feature based object extraction algorithm in this paper. Cutting in from the angle of multi-feature, this algorithm combines the high-efficient and good performance Graph Cut framework. We add foreground shape information and motion estimation as a compensation of the instability of using single color information.
本文提出了一种基于多特征的目标提取算法。该算法从多特征的角度切入,结合了高效、高性能的图割框架。我们增加了前景形状信息和运动估计,以补偿使用单一颜色信息的不稳定性。
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引用次数: 0
Chinese aged liquor classification system using image combinational features 基于图像组合特征的中国陈年白酒分类系统
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745299
Yi Wan
The classification of Chinese aged liquor has always been a difficult problem in liquor-making industry in China. “Aged liquor” is the quality mark and business policy-making of enterprises to reap economic benefit.Chinese aged liquor can be classification or graded by the micrographs. Micrographs of Chinese aged liquor show floccules, stick and granule of variant shape and size. Different aged liquor have variant microstructure and micrographs, we study the classification of Chinese aged liquor based on the micrographs. Shape and structure of age liquor's particles in microstructure is the most important feature for recognition and classification. So we introduce a feature extraction method which can describe the structure and region shape of micrograph efficiently. First, the micrographs are enhanced using total variation denoise method, and segmented using relative entropy threshold method. Then features are extracted using proposed method in the paper based on area, perimeter and traditional shape feature. Eight kind's total 26 features are selected. Finally, Chinese aged liquor classification system based on micrograph using combination of shape and structure features and Back-Propagation neural network have been presented. We compare the recognition results for different choices of features (traditional shape features or proposed features). Such method is preferred for the classification of age liquor and it has the advantages including rapid and precise measurement, The experimental results show that the better classification rate have been achieved using the combinational features proposed in this paper.
陈年白酒的分类一直是中国白酒行业的一个难题。“陈年白酒”是企业获取经济效益的质量标志和经营决策。中国陈年白酒可以用显微照片进行分类或分级。中国陈年白酒的显微照片显示出不同形状和大小的絮状、棒状和颗粒状。不同的陈年白酒具有不同的微观结构和显微照片,本文根据这些显微照片对中国陈年白酒进行分类研究。陈年白酒颗粒的微观形态和结构是识别和分类的重要特征。为此,我们提出了一种能够有效描述显微图像结构和区域形状的特征提取方法。首先,采用全变差降噪方法对图像进行增强,并采用相对熵阈值法对图像进行分割。然后基于面积、周长和传统形状特征,采用本文提出的方法提取特征。选择了8种共26种特征。最后,提出了一种基于形状和结构特征相结合的基于显微照片的中国陈年白酒分类系统。我们比较了不同特征选择(传统形状特征或建议特征)的识别结果。该方法具有测量快速、精确等优点,是陈年白酒分类的首选方法。实验结果表明,利用本文提出的组合特征实现了较好的分类率。
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引用次数: 0
An illumination balance algorithm based on improved affine shadow formation model for underwater image 基于改进仿射阴影形成模型的水下图像光照平衡算法
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745294
Xinnan Fan, Peng Wu, J. Ni, P. Shi
The uneven illumination distribution in underwater visual inspection will lead to the difficulty of extracting texture features. The underwater image illumination balance while keeping the texture details has been one of the key issues in underwater visual inspection. Aimed at this problem, a novel illumination balance algorithm based on improved affine shadow formation model is proposed in this study. In the proposed approach, the linear spatial filter is used to obtain the light intensity distribution of an image, and the original image is divided into a series of small strips of pixels based on the light intensity distribution. Then the illumination balance of the image is carried out based on an improved affine shadow formation model. The experimental results show that the proposed approach can deal with the uneven illumination problem in underwater image, and keep the texture details effectively, which is very important for the subsequent processing and analysis for underwater images.
水下视觉检测中光照分布的不均匀会导致纹理特征的提取困难。在保持纹理细节的同时保持水下图像的光照平衡一直是水下视觉检测的关键问题之一。针对这一问题,本文提出了一种基于改进仿射阴影形成模型的光照平衡算法。该方法利用线性空间滤波器获得图像的光强分布,并根据光强分布将原始图像划分为一系列小的像素条。然后基于改进的仿射阴影形成模型对图像进行光照平衡。实验结果表明,该方法能有效地处理水下图像中光照不均匀的问题,并能有效地保留图像的纹理细节,这对水下图像的后续处理和分析具有重要意义。
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引用次数: 3
One-stationary Bistatic forward-looking SAR imaging based on improved nonlinear chirp scaling algorithm 基于改进非线性啁啾缩放算法的单平稳双基地前视SAR成像
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6745274
Huan Liu, Jianxiong Zhou, Q. Fu
The forward-looking imaging problem of synthetic aperture radar (SAR) can be resolved by adopting the bistatic configuration. A bistatic configuration with a stationary transmitter and a forward-looking receiver is introduced and the two-dimensional spectrum is derived, and then an improved nonlinear chirp scaling algorithm is used to focus the data. The imaging quality is compared with the traditional nonlinear chirp scaling algorithm; the simulation results verify the 2D imaging ability of the proposed method.
采用双基地结构可以解决合成孔径雷达(SAR)的前视成像问题。介绍了一种固定发射机和前视接收机的双基地结构,并推导了二维频谱,然后采用改进的非线性啁啾缩放算法对数据进行聚焦。对比了传统非线性啁啾缩放算法的成像质量;仿真结果验证了该方法的二维成像能力。
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引用次数: 0
Ground moving target detection technique for airborne fire-control radar 机载火控雷达地面运动目标探测技术
Pub Date : 2013-12-01 DOI: 10.1109/CISP.2013.6743929
W. Xie, Guolin Zhao, Yinbo Shao, Gang Deng
Airborne fire-control radar system is characterized by its forward looking antenna and low pulse repetition frequency (LPRF) mode, which induce that the Doppler frequency of ground clutter changes with range and is ambiguous seriously. A moving target detection scheme combining interferometer cancellation technique with adaptive moving target indication (AMTI) is presented in this paper. The results show that it is effective to ground moving target detection for airborne fire-control radar.
机载火控雷达系统采用前视天线和低脉冲重复频率(LPRF)模式,导致地杂波的多普勒频率随距离变化,具有严重的模糊性。提出了一种结合干涉仪对消技术和自适应运动目标指示(AMTI)的运动目标检测方案。结果表明,该方法对机载火控雷达探测地面运动目标是有效的。
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引用次数: 2
期刊
2013 6th International Congress on Image and Signal Processing (CISP)
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