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Dominant Correlogram Based Particle Filter Tracking

Journal of Shanghai Jiaotong University(Science) 2005年第1期E-10卷 12-15页

作者： MAO Yan-fen SHI Peng-fei Inst.of Image Processing & Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200030China

A novel dominant correlogram based particle filter was proposed for an object tracking in visual surveillance. Particle filter outperforms the Kalman filter in non-linear and non-Gaussian estimation problem. This paper proposed incorporating spatial information into visual feature, and yields a reliable likelihood description of the observation and prediction. A similarity-ratio is defined to evaluate the effectivity of different similarity measurements in weighing samples. The experimental results demonstrate the effective and robust performance compared with the histogram based tracking in traffic scenes.

关键词： dominant correlogram particle filter (PF) visual probabilistic tracking similarity-ratio

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Study on Performances of Car-following Models Induced by Motions of a Leading Car

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Journal of Shanghai Jiaotong University(Science) 2005年第3期E-10卷 217-220页

作者： LI Li SHI Peng-fei Inst.of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200030China

This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specified speed profile was used to test the above model. The results show that this model is to some extent deficient in performing the process aforementioned. Modifications of the model to overcome these deficiencies were demonstrated and a modified car-following model was proposed accordingly. Furthermore, the delay time of car motion of the new model were studied.

关键词： car-following models leading car linear stability delay time

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Modulation Classification Based on Spectrogram

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Journal of Systems Engineering and Electronics 2005年第3期000卷 475-488页

作者： Yang Jie Ye Chenzhou Zhou Yue Inst.of Image Processing & Pattern Recognition，Shanghai Jiaotong Univ.，Shanghai 200030，P.R.China

The aim of modulation classification (MC) is to identify the modulation type of a communication signal. It plays an important role in many cooperative or noncooperative communication applications. Three spectrogram-based modulation classification methods are proposed. Their reccgnition scope and performance are investigated or evaluated by theoretical analysis and extensive simulation studies. The method taking moment-like features is robust to frequency offset while the other two, which make use of principal component analysis (PCA) with different transformation inputs,can achieve satisfactory accuracy even at low SNR (as low as 2 dB). Due to the properties of spectrogram, the statistical pattern recognition techniques, and the image preprocessing steps, all of our methods are insensitive to unknown phase and frequency offsets, timing errors, and the arriving sequence of symbols.

关键词： modulation classification spectrogram image processing principal component analysis support vector machine

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Global Motion Estimation with Gabor Wavelet Transform

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Journal of Systems Engineering and Electronics 2005年第3期000卷 645-650页

作者： Wang Peng Liu Chongqing Inst.of Image Processing & Pattern Recognition，Shanghai Jiaotong Univ.，Shanghai 200030，P.R.China

A novel algorithm of global motion estimation is proposed. First, through Gabor wavelet transform (GWT), a kind of energy distribution of image is obtained and checkpoints are selected according to a probability decision approach proposed. Then, the initialized motion vectors are obtained via a hierarchal block-matching based on these ***, by employing a 3-parameter motion model, precise parameters of global motion are found. From the experiment, the algorithm is reliable and robust.

关键词： global motion estimation Gabor wavelet transform probability decision block-matching

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Line-based scan compression algorithm suitable for remote sensing images

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Yuhang Xuebao/Journal of Astronautics 2005年第1期26卷 60-65+76页

作者： Wang, Zhen-Hua Tian, Jin-Wen Liu, Jian Lab. for Image Proc. Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

In this paper, a line-based scan image compression algorithm with low complexity was presented. The algorithm was based on Christos Chrysalis's line-based wavelet transformation coding. There was not image tiling in the algorithm. The supposed algorithm modeled with contexts for different subband after quantifying wavelet coefficients uniformly. A modified Golomb-Rice algorithm with low complexity was adopted as entropy coder. The experiment shows that the memory requirement of the algorithm is far less than that of the SPIHT in compressing images with huge size. The complexity of the entropy coding of the algorithm is reduced largely. The algorithm is especially appropriate for remote sensing image compression system with power and space limited.

关键词： Coding Line-based scan Remote sensing Wavelet transformation

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Fast algorithm of discrete Walsta-Haar transformation

Fast algorithm of discrete Walsta-Haar transformation

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International Conference on Space Information Technology

作者： Lu, Li Shi, Baochang Tian, Jinwen Liu, Jian State Education Commission Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei 430074 China Inst. for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China Department of Mathematics Huazhong University of Science and Technology Wuhan Hubei 430074 China

Walsh-Haar function system that was first intruoduced by us is a new kind of function systems, and has a good global/local property. This function system is called Walsh ordering function system since its generation kernel functions belong to Walsh ordering Walsh function system. We worked out a recursive property of the matrix WHKRm+1 corresponding to the first KR m+1 Walsh-Haar functions in Walsh-Haar function system, and we also proved that Walsh-Haar function system is perfect and orthogonal similar to Walsh function system and Haar function system. Thus, discrete Walsh-Haar transformation (DW-HT) is an orthogonal transformation that can be widely used in signal processing. In this paper, using the recursive property of the matrix WHKRm+1 and the fast algorithm of discrete Walsh transformation (DWT) in Walsh ordering, we have designed a fast algorithm of Walsh ordering DW-HT based on the bisection technique. The idea and method used in this paper can be used for designing fast algorithms of other ordering DW-HTs and other discrete orthogonal transformations.

关键词： Mathematical transformations

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Multifeature distance map based detection of small infrared targets with low contrast in image sequences

Multifeature distance map based detection of small infrared ...

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International Conference on Space Information Technology

作者： Wang, Zhicheng Gao, Chenqiang Tian, Jinwen Liu, Jian Chen, Xiangping State Education Commission Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei 430074 China Inst. for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China Electronic and Engineering Department Huazhong University of Science and Technology Wuhan Hubei 430074 China

Target detection techniques play an important role in automatic target recognition (ATR) systems because overall ATR performance depends closely on detection results. In this paper, a novel method for fusion detection of infrared weak targets based on multifeature distance map (MFDM) in image sequences is proposed. As for small weak targets, there are many features, such as local entropy, average gradient strength. These features depict the characteristics of small infrared targets and can be extracted. Multifeature-based fusion techniques are applied to detect such weak targets. The problem of detecting small targets is converted to search peak values in specified feature space where multifeature vectors space (MFVS) is considered. Distance map (DM) can be derived according to feature vectors and target detection is performed in DM. In order to accumulate energy of targets deeply and suppress background and clutters to a great extent, five distance maps obtained by corresponding five consecutive frames are utilized to fuse with average weight, which results in the fact that the contrast between targets and background including clutters are enlarged and that the feature peaks of targets are obvious different from background and clutters. After these steps, a contrast segmentation method is used to extract targets from complicated background on the fused DM. Actual infrared image sequences in background of sea and sky are applied to validate the proposed approach. Experimental results demonstrate the robustness of the proposed method with high performance.

关键词： Automatic target recognition

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Secure digital watermarking scheme for binary printing images

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2005年第4期39卷 570-573页

作者： Li, Gang Yang, Jie Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper proposed a novel watermarking scheme for the authentication of business documents by embedding a piece of information in the binary document image. Because it is based on printing text, the most important point is to find out an embedding and abstraction method based on the binary images. This paper gave out an embedding method based on the regions otherwise single pixels, in which the printing character is divided into some regions, and the watermark value is decided by the 0/1 ratio in the region. Based on many experiments, this paper also deduced the rules to change the 0/1 ratio without notice. At the end, the robustness of this method against.hardware difference is experimented, and there-suits show that this scheme is useful and potential.

关键词： Digital watermarking

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High Performance Reconfigurable Hardware System for real-time image processing

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Journal of Systems Engineering and Electronics 2005年第3期000卷 502-509页

作者： Zhao Guangzhou Zhang Tianxu Wang Yuehuan Cao Zhiguo Zuo Zhengrong State Key Laboratory for Image Processing and Intelligent Control，Inst.for Pattern Recognition and Artificial Intelligence，Huazhong Univ.of Science and Technology，Wuhan 430074，P.R.China

A novel reconfigurable hardware system which uses both multi-DSP and FPGA to attain high performance and real-time image processing are presented. The system structure and working principle of mainly processing multi-DSP board, extended multi-DSP board are analysed. The outstanding advantage is that the communication among different board components of this system is supported by high speed link ports & serial ports for increasing the system performance and computational power. Then the implementation of embedded real-time operating systems (RTOS) by us is discussed in detail. In this system, we adopt two kinds of parallel structures controlled by RTOS for parallel processing of algorithms. The experimental results show that exploitive period of the system is short, and maintenance *** it is suitable for real-time image processing and can get satisfactory effect of image recognition.

关键词： rmulti-DSP field programmable gate arrays real-time image processing real time operating systems paralld structure

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Multimodal nonparametric background model for moving object detection

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2005年第SUPPL.期39卷 134-137页

作者： Mao, Yan-Fen Shi, Peng-Fei Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

A novel diversity-sampling based Gaussian kernel density estimation (KDE) model was proposed for the representation of multimodal background. Choosing those samples that have diversiform gray-levels in training sequence, a nonparametric model was built for modeling the scene background. According to the related gray-level, the different weights are given to the different samples in kernel density estimation. This avoids the repetition computation using the total samples, and makes KDE very effective. The experimental results show the good detection performance in the traffic surveillance system.

关键词： Object recognition

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