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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 1-12页

作者： Kim, Daehee Lee, Seungwon Paik, Jooki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of

We present a gait recognition system using infra-red (IR) images. Since an IR camera is not affected by the intensity of illumination, it is able to provide constant recognition performance regardless of the amount of illumination. Model-based object tracking algorithms enable robust tracking with partial occlusions or dynamic illumination. However, this algorithm often fails in tracking objects if strong edge exists near the object. Replacement of the input image by an IR image guarantees robust object region extraction because background edges do not affect the IR image. In conclusion, the proposed gait recognition algorithm improves accuracy in object extraction by using IR images and the improvements finally increase the recognition rate of gaits.

关键词： image enhancement

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Automatic blurry pictures deletion tool for digital cameras

Automatic blurry pictures deletion tool for digital cameras

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2008 5th International Conference on Visual Information Engineering (VIE 2008)

作者： Elena Tsomko Hyoung Joong Kim Joonki Paik In-Kwon Yeo Department of Information Management and Security CIST Korea University South Korea Image Processing and Intelligent Systems Laboratory Chung-Ang University South Korea Department of Statistics Sookmyung Women''s University South Korea

In this paper we present a new simple and efficient method for real-time automatic detecting and deleting blurry pictures while they are stored in digital cameras. Recently, many digital cameras are equipped with auto-focusing and motion compensation functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of autofocusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images immediately after taking the pictures by digital cameras and delete them a reliable tool for image quality estimation is needed. This paper presents a new tool for automatic blurry pictures detection and deletion in digital cameras. The main conception used for this tool is the ratio value between a pre- and original images. The algorithm is also based on the prediction-error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed tool in this paper is not demanding on computation time.

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A study on wavelet-based edge detection for improved stereo matching

A study on wavelet-based edge detection for improved stereo ...

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International Conference on Control, Automation and systems ( ICCAS)

作者： Ji-hye Jeon Yoon-gi Yang Joon-ki Paik Chang-su Lee Department of Electronic Engineering University of Suwon Hwaseong South Korea Department of Information Communication Engineering University of Suwon Hwaseong South Korea Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul South Korea

Development of stereopsis technology that gives reality is an interesting research area for a long time. Stereopsis technology expresses actuality with effect of two eyes. Correct stereo matching depends on the exact estimation of image disparity that contains depth information. Wavelet transform can be applied to analyze signals in stereo vision, but related research is insufficient. In this paper, we propose a fast and correct stereo image matching method through edge detection that uses multi-resolution wavelet transform. Also, we analyze the effect of noise during the edge detection process, and make a comparison with traditional methods.

关键词： image edge detection Multiresolution analysis Wavelet analysis Wavelet transforms Signal analysis Frequency Feature extraction Information analysis Low pass filters Automatic control

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Supply chain system complexity analysis

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Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2008年第SUPPL.期28卷 132-141页

作者： Wang, Hong-Wei Guo, Min Institute of Systems Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Supply chain is a complex system. The complexity of supply chain can be categorized into two kinds: the complexity of supply chain components as well as the complexity of the supply chain organizations, and both information uncertainty with system dynamics are the main reasons that lead to supply chain complexity. Concerning supply chain complexity, we review the related researching approaches in the literature from uncertainty, the measure of supply chain complexity as well as the dynamic analysis of the supply chain (including dynamic games), and give suggestions in the future research.

关键词： Supply chains

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Research on the multi-objective resource-constrained transport task scheduling problem

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2008年第5期30卷 155-158页

作者： Wang, Jian Wang, Hong-Wei Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

A resource-constrained transport task scheduling problem (RCTTSP) with two optimal objectives was considered, and a multi-objective hybrid genetic algorithm (HGA) was proposed. The proposed algorithm used the serial scheduling method to initialize the population and evaluated the individual. It used the weighted sum method and the rank-based fitness assignment method to assign the individual fitness. Firstly, this paper described the multi-objective RCTTSP and presented the principle of the HGA, and then developed the algorithm to implement several experimental cases with different problem size;lastly the effectiveness and efficiency of the algorithm were compared. The numerical result indicated that the proposed multi-objective HGA can resolve the proposed multi-objective RCTTSP efficiently.

关键词： Hybrid genetic algorithm Multi-objective Resource-constrained Serial scheduling Transport task scheduling

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Ringing artifact removal in digital restored images using multi-resolution edge map

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 95-106页

作者： Kim, Sangjin Jun, Sinyoung Lee, Eunsung Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of Department of Web Information Engineering Hankyong National University 67 Seokjeong-Dong Anseong Kyonggi-Do 456-749 Korea People's Democratic Rep

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.

关键词： Discrete wavelet transforms

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Comparative analysis of wavelet-based scale-invariant feature extraction using different wavelet bases

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 29-38页

作者： Lim, Joohyun Kim, Youngouk Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of 401-402 B/D 193 Yakdae-Dong WonMi-Gu Puchon-Si KyungGi-Do 420-140 Korea People's Democratic Rep

In this paper, we present comparative analysis of scale-invariant feature extraction using different wavelet bases. The main advantage of the wavelet transform is the multi-resolution analysis. Furthermore, wavelets enable localization in both space and frequency domains and high-frequency salient feature detection. Wavelet transforms can use various basis functions. This research aims at comparative analysis of Haar, Daubechies and Gabor wavelets for scale-invariant feature extraction. Experimental results show that Gabor wavelets outperform better than Haar, Daubechies wavelets in the sense of both objective and subjective measures.

关键词： Feature extraction

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Fingerprint Watermarking for H.264 Streaming Media

Fingerprint Watermarking for H.264 Streaming Media

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Frontiers in the Convergence of Bioscience and Information Technologies, FBIT

作者： Sooyeun Jung Dongeun Lee Seongwon Lee Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Department of Computer Engineering Kwangwoon University Seoul South Korea

In this paper we propose a method that identifies users at H.264 streaming using watermarking with fingerprints. The watermark can efficiently reduce the potential danger of forgery or alteration. Especially a biometric watermark has various advantages. Among entire biometric characteristics, the fingerprint is the most convenient and economical. In this paper we propose a novel fingerprint-based watermarking technique that can survive under very low bit-rate compression. The proposed algorithm consists of enhancement of a fingerprint image, watermark insertion using discrete wavelet transform. In this paper we also analyze H.264 compression pattern and its effects on watermarking. After restoring the damaged watermark sequence using various filters, the algorithm extracts the embedded watermark. The proposed algorithm can achieve robust watermark extraction against H.264 compressed videos.

关键词： Fingerprint recognition Watermarking Streaming media image coding Biometrics Discrete wavelet transforms Forgery image matching Pattern analysis image restoration

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Block matching-based background generation and non-rigid shape tracking for video surveillance

Block matching-based background generation and non-rigid sha...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Taekyung Kim David Tohyun Paik Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advance Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea College of Arts and Sciences Class of Biology major Boston University Boston USA

This paper presents a robust, real-time block matching-based tracking method for deformable objects. Block matching has been used for various image processing applications as well as video coding because it has a regular computing structure. Video tracking based on block matching, however, fails to provide correct motion information of the object when; (i) background changes spatio-temporally, (ii) an object deforms, and (iii) occlusion occurs. To solve these problems, background is first generated to localize a deformable object, and the object is defined by the corresponding boundary. Shape of the object is reconstructed by using a set of shape control points (SCPs) inside the object boundary, and the trajectory of each SCP is traced by block matching. We use an additional SCP Preserving step at every certain interval of frames for more efficient object tracking. For the experiment we used a computer-generated moving fish sequence and an outdoor sequence. Experimental results show that the proposed tracking algorithm can solve the problem of existing block matching-based methods, and at the same time it can track an object with occlusion and/or deformation.

关键词： Video surveillance Shape control Robustness Video compression image processing Tracking Wavelet analysis image analysis Pattern analysis Pattern recognition

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Editorial: Knowledge engineering, semantics, and signal processing in audio - visual information retrieval

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IEEE Transactions on Circuits and systems for Video Technology 2007年第3期17卷 257-258页

作者： Izquierdo, Ebroul Zhang, Jian Sikora, Thomas Huang, Thomas S. Department of Electrical Engineering Queen Mary University of London London El 4NS United Kingdom Sydney Australia School of Computer Science and Engineering University of New South Wales Australia Communication Systems Group Technical University Berlin Berlin Germany ITG University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Institute for Advanced Science and Technology United States Institute's Major Research Theme Human Computer Intelligent Interaction National Academy of Engineering Chinese Academies of Engineering and Sciences China International Association of Pattern Recognition Optical Society of American United States

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关键词： Special issues and sections Knowledge engineering Information retrieval Audio-visual systems

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