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Asilomar Conference on Signals, Systems & Computers

作者： Wenjing Shi Marios S. Pattichis Sylvia Celedón-Pattichis Carlos LópezLeiva Image and Video Processing and Communications Lab (ivpcl.unm.edu) University of New Mexico United States University of New Mexico United States

We introduce the problem of detecting a group of students from classroom videos. The problem requires the detection of students from different angles and the separation of the group from other groups in long videos (one to one and a half hours).We use multiple image representations to solve the problem. We use FM components to separate each group from background groups, AM-FM components for detecting the back-of-the-head, and YOLO for face detection. We use classroom videos from four different groups to validate our approach. Our use of multiple representations is shown to be significantly more accurate than the use of YOLO alone.

关键词： Computers Frequency modulation Face recognition Collaboration image representation Face detection Videos

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A Control Method for Electric Cylinder Based on Three-Order ADRC

A Control Method for Electric Cylinder Based on Three-Order ...

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WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Zhifan Jiang Zhihua Chen Lijun Tong Jiale Huang Yufei Che Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang

ISBN: (数字)9798331506100

ISBN: (纸本)9798331506117

As an executive component of robots, the precise control of electric cylinders is crucial for achieving accurate control of robots. This article proposes a position closed-loop electric cylinder control method based on three-orders active disturbance rejection control (ADRC). Firstly, model the electric cylinder system and determine its transfer function. Secondly, PID controllers and ADRC controllers were designed separately, and their stability was verified through the Routh criterion and Lyapunov method, respectively. Finally, the control effects of PID and ADRC were compared through three sets of experiments. The results show that compared to PID, ADRC is less affected by the increase in input signal frequency, has stronger anti-interference ability, and can effectively resist the influence of internal uncertainty.

关键词： Robust control Automatic frequency control PI control Uncertainty Stability criteria Transfer functions Resists PD control Robots Lyapunov methods

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Building a mixed-lingual neural TTS system with only monolingual data

arXiv

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arXiv 2019年

作者： Xue, Liumeng Song, Wei Xu, Guanghui Xie, Lei Wu, Zhizheng Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China ***

When deploying a Chinese neural Text-to-Speech (TTS) system, one of the challenges is to synthesize Chinese utterances with English phrases or words embedded. This paper looks into the problem in the encoder-decoder framework when only monolingual data from a target speaker is available. Specifically, we view the problem from two aspects: speaker consistency within an utterance and naturalness. We start the investigation with an average voice model which is built from multispeaker monolingual data, i.e., Mandarin and English data. On the basis of that, we look into speaker embedding for speaker consistency within an utterance and phoneme embedding for naturalness and intelligibility, and study the choice of data for model training. We report the findings and discuss the challenges to build a mixed-lingual TTS system with only monolingual data. Copyright © 2019, The Authors. All rights reserved.

关键词： Embeddings

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Fast Candidate Region Extraction for SAR Ship Target 37

Fast Candidate Region Extraction for SAR Ship Target

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Zhang, Panpan Luo, Haibo Xu, Zheng He, Miao Shenyang Institute of Automation Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China The Key Lab of Image Understanding and Computer Vision Shenyang110016 China

ISBN: (纸本)9781665465366

At present, deep learning technology is widely used in ship target detection in synthetic aperture radar (SAR) images. However, high-resolution remote sensing SAR images cover a larger area and have larger image sizes. To be able to use the deep learning model for training and testing, the image needs to be cropped to the appropriate size. In a high-resolution SAR ship image, the ship target usually takes only a small part of the whole image. As a result, only part of the cropped image contains the target, and most of the rest are background regions. This will cause a lot of computational redundancy in the model inference stage. To solve this problem, a fast candidate region extraction algorithm is proposed in this paper for ship target extraction. The algorithm consists of three parts: firstly, extract the saliency map of the SAR ship image, secondly, perform median filtering on the segmented image, and thirdly, extract candidate regions. The superiority of the algorithm was demonstrated by experiments on the AIR-SARShip-1.0 dataset. © 2022 IEEE.

关键词： Synthetic aperture radar

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Path planning with danger model immune system

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Information Technology Journal 2013年第18期12卷 4659-4665页

作者： Zhao, Lihua Pan, Jin Key Lab of Intelligent Perception and Image Understanding Ministry of Education Xidian University Xi'an 710071 China Xi'an Communications Institute Xi'an 710106 China

In this study, we present a Danger Model immune algorithm based path planning algorithm (DMIA-PP) for robot path planning. Different with the traditional immune algorithm, the system is not based on self-nonself mechanism, but on danger model theory. In a dynamic environment, if the changes of the obstacles affect the found optimal path, a danger signal will be send to the system. And the memory cell will be stimulated to propagate and to mutate, so as to a new optimization circle. The experimental results have shown the effectiveness and accuracy of the method in a complex searching map. © 2013 Asian Network for Scientific Information.

关键词： Motion planning

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Modified color co-occurrence matrix for image retrieval

Modified color co-occurrence matrix for image retrieval

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First International Conference on Natural Computation, ICNC 2005

作者： Chang, Min Hyuk Pyun, Jae Young Ahmad, Muhammad Bilal Chun, Jong Hoon Park, Jong An Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab. Dept. of Mechatronics Gwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Computer Information and Communication Eng. Jeonnam Provincial Collage Jeonnam Korea Republic of

Color correlogram for content-based image retrieval (CBIR) characterizes not only the color distribution of pixels, but also the spatial correlation of pairs of colors. Color not only reflects the material of surface, but also varies considerably with the change of illumination, the orientation of the surface, and the viewing geometry of the camera. The invariance to these environmental factors is not considered in most of the color features in color based CBIR including the color correlogram. However, pixels changed their color with almost same proportions with change of environmental factors. This fact is taken into consideration, and new algorithm is proposed. The color cooccurrence matrix for different spatial distances is defined based on the maximum/minimum of color component between the three components (R,G,B) of a pixel. The proposed algorithm has less number of features, and the change of illumination, etc. is also taken into account. © Springer-Verlag Berlin Heidelberg 2005.

关键词： image retrieval

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ON THE CODING GAIN OF INTRA-PREDICTIVE TRANSFORMS

ON THE CODING GAIN OF INTRA-PREDICTIVE TRANSFORMS

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16th IEEE International Conference on image processing

作者： Xu, Jizheng Wu, Feng Zhang, Wenjun Shanghai Jiao Tong Univ Dept Elect Engn Inst Image Commun & Informat Proc Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Digital Media Processing & Trans Shanghai Peoples R China Microsoft Res Asia Beijing Peoples R China

ISBN: (纸本)9781424456536

Intra-predictive transforms are a kind of block-based transforms that can exploit both the intra- and inter-block correlations. This paper analyzes the coding gains of intra-predictive transforms for the Gaussian process. The tight upper bound of the coding gain is derived, which is shown to be better than both the discrete cosine transform and the Karhunen Loeve transform. The optimal intra-predictive transform that achieves the upper bound is also presented. Actual coding results on images verify the effectiveness of the optimal intra-predictive transform.

关键词： image coding intra-predictive transform coding gain

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A SUPPORT VALUE TRANSFORM-BASED MULTI FOCUS image FUSION METHOD

A SUPPORT VALUE TRANSFORM-BASED MULTI FOCUS IMAGE FUSION MET...

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2006 8th International Conference on Signal processing

作者： Sheng ZHENG Jian Liu Guangxi Zhu Jinwen Tian College of Electrical Engineering & Information Technology China Three Gorges University Electronic & Information Engineering Department Huazhong University of Science and Technology(HUST) State Edu Commission Key Lab for Image Processing & Intelligent Control HUST Chinese Key lab of optic & electronics HUST State Edu Commission Key Lab for Image Processing & Intelligent Control

＜正＞The image fusion is an important approach to produce a single complete image which preserves all relevant information from different *** this paper,we proposed a support value transform-based multi focus image fusion method,where the fused saliency features are represented by support values. Based on the mapped least squares support vector machine,the support value transform is developed as a multi-scale analysis *** fusing results on the multi focus images demonstrate that the proposed image fusion method is effective and efficient.

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Texture image segmentation using Brushlet-domain hidden Markov models

Texture image segmentation using Brushlet-domain hidden Mark...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Liu, Fang Yang, Kai Hao, Hongxia Hou, Biao Zhong, Hua School of Computer Science and Technology Xidian University Xi'an Shanxi 710071 China Intelligent Perception and Image Understanding Key Lab. of Ministry of Education of China Xi'an Shanxi 710071 China Intelligent Information Processing Laboratory Xidian University Xi'an Shanxi 710071 China

ISBN: (纸本)9780819478092

By researching the Brushlet domain coefficients of texture images, we found that the distribution of the magnitudes of Brushlet domain coefficients roughly meet rayleigh distribution. And there are correlations between Brushlet coefficients in adjacent scales. Therefore, Rayleigh Mixture Model (RMM) is used to characterize the statistics of the magnitudes of Brushlet coefficients. To capture the inter-scale persistence of Brushlet coefficients, a "four to four" models with markov property is adopted in this paper. On the basis, by combining with the multi-scale Bayesian segmentation method, we propose a multiscale Bayesian texture segmentation algorithm that is based on a Brushlet domain hidden Markov tree (BruHMT) model. The experiment results indicate that our method is feasible and effective. Especially for coarse texture, our method is superior than texture segmentation method using Wavelet domain hidden Markov tree (WHMT) model. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hidden Markov models

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A new noise erosion operator for anisotropic diffusion

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激光与光电子学进展 2004年第5期2卷 268-270页

作者：蔡超丁名跃周成平张天序 Institute for Pattern Recognition and Artificial Intelligence State Education Commission Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074

A noise erosion operator based on partial differential equation (PDE) is introduced, which has an excellent ability of noise removal and edge preservation for two-dimensional (2D) gradient data. The operator is applied to estimate a new diffusion coefficient. Experimental results demonstrate that anisotropic diffusion based on this new erosion operator can efficiently reduce noise and sharpen object boundaries.

关键词： partial differential equation diffusion coefficient anisotropic diffusion

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