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34th IEEE International Conference on Visual communications and image processing, VCIP 2019

作者： Liu, Hang Hu, Menghan Zhai, Guangtao Huang, Huijing Zhang, Wa Li, Qingli Tian, Yinghong Shi, Yanling East China Normal University Shanghai Key Laboratory of Multidimensional Information Processing China Shanghai Jiao Tong University Institute of Image Communication and Information Processing China

ISBN: (纸本)9781728137230

For those who love painting but unfortunately have visual impairments, holding a paintbrush to create a work is really a difficult task. For the purpose of solving this problem, a painting navigation system for visually impaired painters is introduced through the live demonstration. When painting, the developed system can endow visually impaired persons with the ability to perceive the surrounding environment, thus helping them realize their dream of painting. To achieve this goal, we designed four main modules viz., QR code based drawing board positioning module, brush real-Time positioning module, color recognition module and human-computer interaction module, and integrated them into the system. In the validation experiments, the blindfolded users can successfully create a painting with the help of the developed navigation system. Moreover, the users told us that this system provided them with good experience. In a way, this painting navigation system can be seen as "angel's eyes" of visually impaired painters. The demo video of the proposed painting navigation system is available at: https://***/10.6084/***.9760004.v1. © 2019 IEEE.

关键词： Navigation systems

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Adaptive resampling in particle filter based on diversity measures

Adaptive resampling in particle filter based on diversity me...

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International Conference on Computer Science and Education

作者： Yu, Jin-Xia Liu, Wen-Jing Tang, Yong-Li College of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424460052

It is very important to find a criterion when to perform a resampling step. Aimed at this problem, an adaptive resampling algorithm in particle filter based on diversity measures is presented. Based on the analysis and comparison of two diversity measures that are effective sample size (ESS) and population diversity factor(PDF), the resampling algorithm based on ESS is introduced. On the basis of that, PDF is used for adaptively tuning the resampling threshold. At last, with the simulation program using matlab 7.0 to track a single target motion from a fixed visual observation points, the performance of the proposed algorithm is evaluated and its validity is verified. ©2010 IEEE.

关键词： MATlab

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Approaches to image retrieval using fuzzy set theory

Approaches to image retrieval using fuzzy set theory

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2008 IEEE International Conference Neural Networks and Signal processing, ICNNSP

作者： Li, Yang Xuelong, Hu Jun, Pan School of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China Jiangsu Province Key Lab. for Image Processing and Image Communication Nanjing University of Posts and Communications Nanjing Jiangsu 210003 China Jiangsu Prov. Key Lab. for Computer Information Processing Technology Suzhou University Suzhou Jiangsu 215006 China

ISBN: (纸本)9781424423118

This paper mainly presents two approaches for image retrieval. There is some faintness in color locating in quantification boundary when image color is quantized. The membership function in fuzzy set theory can describe the fuzzy transition preferably. In this paper, the membership function in HSI color space is adopted to solve the problem above. At the same time, spatial information is integrated with color feature to describe the image content more truly. Due to the importance of texture feature, gray concurrence matrix is extracted. In the second part of this paper, retrieval scheme combining four image feature descriptors is presented, and then follows Fuzzy Hamming Distance (FHD) which is used as a fuzzy similarity measure. We have performed an experiment on a 1000 images database and our results show higher retrieval accuracy. © 2008 IEEE.

关键词： Fuzzy sets

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Ziguan Cui Zongliang Gan Xiuchang Zhu Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nan Image Processing and Image Communication LabNanjing University of Posts and Telecommunications Nanj

Conventional Rate Control (RC) schemes for video coding mostly take objective metric as distortion measurement, which can not achieve optimal subjective quality. This work applies Structural Similarity (SSIM) based subjective distortion to rate distortion optimization and RC in H.264, and proposes a SSIM optimal macroblock (MB) layer RC scheme. First, a SSIM quadratic distortion model is proposed based on extensive experiments and theoretical analysis. Then an improved quadratic Rate Quantization (R-Q) model is combined to obtain the solution of SSIM optimal MB layer quantization step (Qstep) by Lagrange multiplier method. Experimental results show that the proposed scheme preserves more image structural information and thus acquires better subjective quality compared with objective metric optimal MB layer RC JVT-O016 and classic JVT-G012.

关键词： H.264 rate control subjective quality structural similarity

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Pipeline Leak Detection, Location and Repair 11

Pipeline Leak Detection, Location and Repair

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11th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021

作者： Lin, Peihan Li, Xiaoming Long, Zhoubin Ma, Peili Zhu, Guijie Wei, Jiahong Fan, Zhun Engineering College Shantou University Department of Key Lab of Digital Signal and Image Processing of Guangdong Province Shantou China

ISBN: (纸本)9781665425278

Pipeline leak-sealing under the high pressure and temperature condition is the way to repair a pipeline while the equipment is in continuous work in a power plant or chemical plant. At present, most of this work is carried out by operators with carrying heavy pipeline repairing tools. However, the medium transported by the pipeline is high temperature and high pressure, even acidic or corrosive, which is dangerous to the operators. In order to solve this issue, a pipeline leak-sealing robot is designed to replace the operators to perform pipeline leak-sealing tasks. Furthermore, we design and develop a caulking actuator for the pipeline leak-sealing task and applied a deep learning method to locate the leak points on the pipeline. The experimental results demonstrate that the caulking actuator achieves good performance to repair pipeline leaks, and the accuracy of the method for locating pipeline leaks meets the demand for leak location. © 2021 IEEE.

关键词： Chemical plants

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Video object matching based on sift algorithm

Video object matching based on sift algorithm

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2008 IEEE International Conference Neural Networks and Signal processing, ICNNSP

作者： Xuelong, Hu Yingcheng, Tang Zhenghua, Zhang School of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China Jiangsu Prov. Key Lab for Image Processing and Image Communication Nanjing University of Posts and Communications Nanjing Jiangsu 210003 China Jiangsu Prov. Key Lab. for Computer Information Processing Technology Suzhou University Suzhou Jiangsu 215006 China

ISBN: (纸本)9781424423118

SIFT (Scale Invariant Feature Transform) is used to solve visual tracking problem, where the appearances of the tracked object and scene background change during tracking. The implementation of this algorithm has five major stages: scale-space extrema detection;keypoint localization;orientation assignment;keypoint descriptor;keypoint matching. From the beginning frame, object is selected as the template, its SIFT features are computed. Then in the following frames, the SIFT features are computed. Euclidean distance between the object's SIFT features and the frames' SIFT features can be used to compute the accurate position of the matched object. The experimental results on real video sequences demonstrate the effectiveness of this approach and show this algorithm is of higher robustness and real-time performance. It can solve the matching problem with translation, rotation and affine distortion between images. It plays an important role in video object tracking and video object retrieval. © 2008 IEEE.

关键词： Tracking (position)

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A general end-to-end diagnosis framework for manufacturing systems

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National Science Review 2020年第2期7卷 418-429页

作者： Ye Yuan Guijun Ma Cheng Cheng Beitong Zhou Huan Zhao Hai-Tao Zhang Han Ding School of Artificial Intelligence and Automation MOE Key Lab of Intelligent Control and Image Processing Huazhong University of Science and Technology State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology

The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based technologies with the extraordinary increases in computational power and data volumes. A central challenge in the manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring performances in different manufacturing applications. Here, we propose a general data-driven,end-to-end framework for the monitoring of manufacturing systems. This framework, derived from deep-learning techniques, evaluates fused sensory measurements to detect and even predict faults and wearing conditions. This work exploits the predictive power of deep learning to automatically extract hidden degradation features from noisy, time-course data. We have experimented the proposed framework on 10 representative data sets drawn from a wide variety of manufacturing applications. Results reveal that the framework performs well in examined benchmark applications and can be applied in diverse contexts,indicating its potential use as a critical cornerstone in smart manufacturing.

关键词： manufacturing systems deep learning diagnosis and monitoring

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image super-resolution based on sparse representation and nonlocal regularization

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Journal of Computational Information Systems 2014年第5期10卷 2107-2116页

作者： Li, Xin Zhu, Xiuchang Jiangsu Province Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

To solve the super-resolution reconstruction problem for single-frame image, an algorithm based on sparse representation and nonlocal regularization is proposed. By training the joint dictionaries, this algorithm looks for sparse representation in low-resolution dictionary for the input low-resolution image patch, and maps the sparse representation to high-resolution dictionary to construct high-resolution image patch. Then the reconstructed image patch is further regularized by the image's nonlocal self-similarity a priori information. Experimental results show that this algorithm can effectively ensure the quality of the reconstructed image, and greatly reduce the computation time. © 2014 Binary Information Press.

关键词： image reconstruction

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Indoor localization with incomplete observation using set-membership filter

Indoor localization with incomplete observation using set-me...

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International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015

作者： Wang, Yuan Huang, Jian Key Lab of Image Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781479966783

Indoor localization is a popular topic because of the poor performance of GPS in the indoor environment. This paper has provided a new method to achieve the goal of indoor localization. Combining the usage of posture sensors with the Radio Frequency Identification (RFID) technology, we solved the problem of plentiful tags in the traditional RFID indoor localization. The relative localization subsystem is based on posture sensors and the absolute localization subsystem is based on RFID. A set-membership theory based data fusion algorithm is proposed to fuse the data of relative localization and absolute localization. Experimental results show that the proposed data fusion algorithm could significantly reduce the accumulated error of our indoor localization system. © 2015 IEEE.

关键词： Indoor positioning systems

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Efficient spatial temporal convolutional features for audiovisual continuous affect recognition 9

Efficient spatial temporal convolutional features for audiov...

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9th International Audio/Visual Emotion Challenge and Workshop, AVEC 2019, held in conjunction with the ACM Multimedia 2019

作者： Chen, Haifeng Deng, Yifan Cheng, Shiwen Wang, Yixuan Jiang, Dongmei Sahli, Hichem Shaanxi Key Lab on Speech and Image Information Processing Xi'an China Peng Cheng Laboratory Shenzhen China Belgium

ISBN: (纸本)9781450369138

Affective dimension prediction from multi-modal is becoming an increasingly attractive research field in artificial intelligence (AI) and human-computer interaction (HCI) . Previous works have shown that discriminative features from multiple modalities are of importance to accurately recognize emotional states. Recently, deep representations have proved to be effective for emotional state recognition. To investigate new deep spatial-temporal features and evaluate their effectiveness for affective dimension recognition, in this paper, we propose: (1) combining a pre-trained 2D-CNN and a 1D-CNN for learning deep spatial-temporal features from video images and audio spectrograms;and (2) a spatial-Temporal Graph Convolutional Networks (ST-GCN) adapted to facial landmarks graph. To evaluate the effectiveness of the proposed spatialtemporal features for affective dimension prediction, we propose Deep Bidirectional Long Short-Term Memory Networks (DBLSTM) model for single-modality prediction, early-fusion and late-fusion predictions. With respect to the liking dimension, we use the text modality for prediction. Experimental results, on the AVEC2019 CES dataset, show that our proposed spatial-temporal features and recognition model obtain promising results. On the development set, the obtained concordance correlation coefficient (CCC) is up to 0.724 for arousal and 0.705 for valence, and on the test set, the CCC is 0.513 for arousal and 0.515 for valence, which outperform the baseline system with corresponding CCC of 0.355 and 0.468 on arousal and valence, respectively. © 2019 Association for Computing Machinery.

关键词： Forecasting

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