Conference Program of WCICA 2012

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Conference Program WCICA 2012 then locating eyes correctly according to geometry and pixel features of human eyes. Experimental results show that this algorithm can be applicable in images with different backgrounds and Non-uniform illumination environment. It has proved that it is real-time and accurate. ◁ PSaC-76 Adaptive Fuzzy Apporach to Background Modeling using PSO and KLMS, pp.4601–4607 Li, Zilong South China Univ. of Tech. This paper presents a new adaptive fuzzy approach for background estimation in video sequences of complex scene from the function estimation point of view. A Takagi-Sugeno-Kang (TSK) type fuzzy system is used as the function approximator in the study. The proposed approach uses a hybrid learning method combines both the particle swarm optimization (PSO) and the Kernel Least Mean Square (KLMS) to train the fuzzy approximator. In order to estimate background, we first interpret foreground samples as outliers relative to the background ones and so propose an Outlier Separator (OS). Then, the obtained results of OS algorithm are employed in the fuzzy approximator in order to train and estimate background in each pixel. Experimental results show the high accuracy and effectiveness of the proposed method in background estimation and foreground detection for various scenes. ◁ PSaC-77 Optimal Motion Control for IBVS of Robot, pp.4608–4611 Gao, Cheng Univ. In conventional image-based visual servoing (IBVS), the robot endeffector (camera) motion is controlled directly according to image error, there isn’t direct control over the Cartesian velocities of the robot endeffector. As a result, the robot trajectories can be seemingly roundabout in Cartesian space. This paper presents a new control scheme, that is IBVS of rotation separated. As there is not interferences of translation and rotation of image, the performance of this approach is more advantage in the setting times and the motion trajectories of Cartesian space than classical IBVS, and can executes visual servoing task that conventional IBVS can’t accomplished. We illustrate new control scheme with two representative simulation result. ◁ PSaC-78 Machine-Vision Based Preceding Vehicle Detection Algorithm: A Review, pp.4617–4622 Zhou, Jun-jing Duan, JianMin Yu, Hongxiao Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Onboard vehicle detection system is of great importance to reduce vehicle collision accident and increase the driving safety on road. It aims at detecting vehicles appearing around the ego vehicle using vehiclemounted camera, so as to alert the driver about driving environments and possible collision with other vehicles. In this paper, we analyze the detail difficulties lying in the problem and review most of the literatures. A typical vehicle detection algorithm includes two steps: hypothesis generation and hypothesis verification. After a vehicle is detected, it’s tracked. This paper introduces the principle of typical methods of detection and tracking and analyzes their respective pros and cons. Finally, we propose some research directions in the future. ◁ PSaC-79 Traffic Sign recognition Using Dual Tree-Complex Wavelet Transform and 2D Independent Component Analysis, pp.4623–4627 Gu, Mingqin Cai, Zi-xing Central South Univ. Central South Univ. A novel traffic sign recognition algorithm is presented in the paper. This algorithm integrates the Dual-Tree Complex Wavelet Transform(DT- CWT) representation of traffic sign images and 2D Independent Component Analysis(2DICA) method. First traffic sign color-image is preprocessed with gray scaling, and normalizing to 6464 size. Then four levels DT-CWT images are used to represent gray image of traffic sign, so the image features could be obtained. Second, 2DICA and nearest neighbor classifier are used to recognize the traffic signs. The whole recognition algorithm is implemented for classification of 50 categories of traffic signs and accuracy reach 97%. It also compares the presented algorithm with well-established image representation like template, Gabor, and feature selection techniques such as PCA, LPP, 2DPCA at same time. Experimental results indicate that the proposed algorithm was robust, effective, and accurate to recognize traffic signs. ◁ PSaC-80 Feature Detection and Matching for Traffic Sign Images, pp.4628–4632 Li, Lei-Min LI, Li Tong, Ru-qiang Li, Pei-xi Southwest Univ. of Sci. & Tech. Changchun Univ. of Sci. & Tech. School of Information Engineering , Southwest Univ. of Sci. & Tech. Changchun Univ. of Sci. & Tech. It is important to detect and recognize the traffic sign for mobile robot localization and navigation. In this paper, an algorithm frame of feature detection and matching has been developed which includes shape detection, Harris corner detection, SIFT feature matching and robust estimation method. Firstly, the color threshold segmentation algorithm in RGB color space is adopted to get the candidate region of traffic signs and the region growing method is applied to remove the noise in this image. Secondly, the shape features on the edge image are detected using template matching. Thirdly, Harris corner features are calculated and sorted, then the SIFT feature descriptors are computed on the extraction corner points. Finally, according to the minimum Euclidean distance the matching characteristic vectors are obtained between t- wo images􀋈then random sampling algorithm with robust estimation is used to reduce mismatch. Experiment result shows that this algorithm is efficient. ◁ PSaC-81 Machine Vision Based Localization of Intelligent Vehicle, pp.4638–4643 Wang, Fei Duan, Jianmin ZHENG, Banggui Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Aiming at implementing the lane recognition and determining the host vehicle’s parameters of position and direction accurately according to lane line parameters, realize the lane departure warning, one kind of practical algorithm for lane recognition and the host vehicle localization has been proposed. In the algorithm, lane parameters are obtained using Hough Transformation. Combined the inner and outer parameters of CCD and lane parameters, the parameters such as the host vehicle’s location parameter, the direction variable and the lane width are obtained using the coordinate transformation. The experiments indicated that this algorithm has the good adaptive ability and anti-jamming ability when roadway structure and illumination condition changes. It can satisfy many kinds of initiative safety system’s requests in a certain extent. ◁ PSaC-82 Divide and Conquer Strategy for Spectral Clustering, pp.4644–4648 Jia, Zhixian Xinjiang Univ. of Finance & Economics The spectral clustering algorithm’s space complexity is O(n-squared), while time complexity is O(n-cubed). When dealing with large amounts of data, the memory will overflow and run-time is too long. For the general problem of spectral clustering, if the clustering data of sub-problem between the original problem has the same probability distribution, it can be applied to divide and conquer strategy for the problem of spectral clustering, by the spectral clustering results of sub-problems to get the spectral clustering results of original problem. To spectral clustering image segmentation as a research object, we will discuss the divide and conquer strategy for spectral clustering in this paper. Experiments show that the application of divide and conquer method for spectral clustering image segmentation, we can get a perfect performance in image segmentation. ◁ PSaC-83 Improved Algorithm for the k-means Clustering, pp.4717–4720 ZHANG, SHENG Shandong Jiaotong Univerisity 202
WCICA 2012 Book of Abstracts: Saturday Sessions Wang, Shouqiang ShanDong JiaoTong Univ. This paper investigates the standard k-means clustering and gives an improved algorithm based on selecting the initial centers and overcoming the local minimal values. Experiments show that the new algorithm is more effective and can get a better result than the standard k-means clustering. ◁ PSaC-84 The Motion Control of Mobile Self-Balancing Robot Base on Vision- Teleoperation, pp.4737–4740 Ruan, Xiaogang Li, Jun Xu, Feng Yu, Naigong Beijing Univ. of Techology Beijing Univ. of Techology Beijing Univ. of Techology Beijing Univ. of Techology Aiming at control of remote teleoperation for mobile robot using at search and rescue, especially for application in a complex environment, this paper presents a vision-based mobile robot remote control system. After the realization of the physical simulation, transplantation of this system to the mobile self-balancing robot control physical entities also success, giving a callback-style remote control instruction set system at the meantime. Forming a self-balancing robot balance control with a combination of motion control, vision systems and coordination of effective mechanical control system. ◁ PSaC-85 A Complex Number Algorithm of Image-Hiding, pp.4815–4819 Wang, Hongxin Harbin Commerce Univ. Abstract - Under the premise of comprehensive studying with different methods of image-hiding, we propose a method of new imagehiding, complex number algorithm, which is lower distortion and higher security, by researching the differences between the blocks of coverimage and secret-image. This algorithm is simple and practicable. It has greatly improved the security of system, robustness and facticity of image-hiding. experiment result verified the advantage of the algorithm. ◁ PSaC-86 A Blind Watermarking Algorithm Based on Singular Value Decomposition and Quantification, pp.4887–4890 Chen, Gang Ma, Huijie Chen, Ning Jianghan Univ.,Wuhan ,430056,China Central South Univ. Central South Univ. A blind watermarking algorithm based on singular value decomposition and quantization in Contourlet domain is presented to protect the copyright of digital images . Firstly, a host image is decomposed by using Contourlet transform, and the low-frequency subband is divided into blocks. Then, by applying SVD to each block, the binary watermark information is embbeded by quantizing each singular value vector of each block. According to the quantization principle, blind extraction could be realized. Finally, the experimental results are given to show that, this algorithm can not only ensure the invisibility of the watermarked image, but also resist effectively various attacks, such as the filtering, adding noise, JPEG compression, cropping and so on. ◁ PSaC-87 An Imaging Method for 360-Degree Panoramic Bird-Eye View, pp.4902–4906 Yu, Chunxuan Fang, Xiang Tang, Shuangze Wu, Mengzhou Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. An imaging method for 360-degree panoramic bird-eye view, which is applied to Panorama Parking Assist System, is presented. In order to remove the distortion of images collected, the camera is calibrated to obtain the parameters. Then, according to the relationship among coordinate systems, the conversion from the corrected image into bird-eye view is transformed by using the parameters, such as camera perspective, pitch angle and focal length, etc. Finally, image mosaic look-up table is established and the system can quickly generate the panoramic bird-eye view image by this table. Experimental results show that this method has a good imaging effect. ◁ PSaC-88 Transmission Rate Calculating and Analysis of Gear System Based On ECT, pp.4912–4915 Li, Junjun SHI, Shiying Liu, Houyi shandong jiaotong Univ. Shan-dong Communication Univ. Shan-dong, JN, 250023 shandong jiaotong Univ. This paper analyses the structure and components of three gear system according to typical structure diagram, deduction the transmission rate calculating methods of electric control transmission gear system, so that can grasp the principal and the transmission rate calculation rapidly, it will provide the theory basis for designing and maintenance of ECT ◁ PSaC-89 A Microarray Image Gridding Method Based on Image Projection Difference Sequences Analysis and Local Extrema Searching, pp.4961– 4964 Liu, Jun Shenyang Ligong Univ. Microarray image gridding is one important step of microarray image analysis to determine 2D image coordinates of all array spots in the hybridized gene chip image. Accuracy of microarray image gridding will affect the reliability of gene-chip data extraction and even the final analysis results of gene-chip assays. Hower, in recent years, many new microarray image gridding methods presented have higher accuracy but have more computation complexity than those precedented ones. To promote gridding accuracy and decrease computation complexity simultaneously, we presented a novel and simple microarray image gridding method based on image projection sequences analysis and local extrema searching. Firstly we transformed 2D microarray image into vertical and horizontal 1D projection sequences, secondly utilized signal processing methods of low pass filtering and zero mean to filtered projection sequences, thirdly computed the first-order difference and second-order difference for the smoothed signals, and finally realized microarray image gridding according to the local extrema of difference sequences and span information of spots array on the microarray image. The subsequent gridding experiments showed that this method had met the requirements of computing accuracy and efficiency of microarray image gridding. ◁ PSaC-90 Optimal Control Strategy for an Multi-regional Epidemic Model, pp.5007–5012 Sang, Zi Qiu, Zhipeng Kong, Qingkai Zou, Yun Nanjing Univ. of Sci. & Technoledge Nanjing Univiersity of Sci. & Tech. Nanjing Univ. of Sci. & Tech. Nanjing Univ. of Sci. & Tech., China A multi-regional model is developed for the global spread of an emerging and re-emerging infectious disease. Intra-regional interventions and inter-regional interventions are incorporated into the model. Optimal control theory is applied to the formulation of a prevention and control strategy against diseases. The conditions for existence of an optimal control are derived by using Pontrayagin’s maximum principle. Numerical results show that optimal control strategy preforms effective. A briefly study on the impact of different levels of hygiene precautions on the formulation of an optimal control strategy is investigated. Simulation result further reveals that that intra-regional intervention and exit screening at the border of an region remains the best choice for an infectious disease, but entry screening should be given less priority or even abandoned in the entire optimal control program. ◁ PSaC-91 Design of a 5mW Capacitive Accelerometer based on MEMS and C- MOS Technology, pp.5102–5107 Ruan, Yue Ji, Lujun Zhejiang Shuren Univ. Zhejiang Shuren Univ. 203
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WCICA 2012 The 10 th World Congress
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