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

作者： Chen, Lushuang Liu, Ning Hu, Menghan Zhai, Guangtao Shanghai Jiao Tong University Institute of Image Communication and Information Processing China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University China

ISBN: (纸本)9781728137230

The pixel variation signal extracted from the nasal region of RGB-Thermal images can be used to achieve breathing rate (BR) measurement. However, this method fails when the nasal region is not detected in complicated motion scenarios. In this paper, we develop an RGB-Thermal imaging system collaborated with marker sticker to achieve unobtrusive and accurate BR measurement. Pixel variation signal of Regions of interest (ROI) is extracted from the thermal video and chest movement signal is extracted from the RGB video with the assistance of marker stickers. Subsequently, a custom-made time-domain signal processing approach is developed for determining BR. We further propose a method of splicing computation to measure the BR after separate processing of signal segments. We construct an RGB-Thermal video dataset with different head and body movements to evaluate the effectiveness of the proposed algorithm. After linear regression analysis, the determination coefficient (R2) of 0.905 has been observed for the estimated and reference BRs, indicating the feasibility of our proposed method in complex motion scenarios. © 2019 IEEE.

关键词： Pixels

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Motion Planning and Tracking Control Method Based on CoppeliaSim for UGV in Irregular Terrain 5

Motion Planning and Tracking Control Method Based on Coppeli...

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5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023

作者： Huang, Jiale Chen, Zhihua Zhong, Yongbo Zeng, Wenrui Ji, Chuanmin Nanchang Hangkong University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Moe Key Lab of Nondestructive Testing Technology Nanchang330063 China

ISBN: (纸本)9798350307320

Path planning and tracking algorithms are one of the cores of autonomous navigation technology for unmanned ground vehicle (UGV). In this paper, a local obstacle avoidance method based on event-triggered control is proposed to ensure that the UGV avoids obstacles in the tracking process. First, the path planning and tracking control problem of the UGV is modeled and formulated. Second, the improvement and logical correlation of the relevant algorithms are described in detail. Finally, ajoint simulation of MATLAB and V-rep is performed. The simulation results show that event-triggered control can largely improve the reliability of the UGV path planning and tracking process, and verify the effectiveness of the algorithm. © 2023 IEEE.

关键词： Motion planning

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Motion estimation and spatial-temporal filter-based infrared small target detection algorithm

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International Journal of Wireless and Mobile Computing 2015年第3期8卷 256-261页

作者： Wang, Zhonghua Liao, Yuan Liu, Qingping Li, Chunyong School of Information and Engineering Nanchang Hangkong University Nanchang Jiangxi Province330063 China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang Jiangxi Province330063 China Department of Information Engineering Nanchang Hangkong University Nanchang330063 China

Under the effect of solar variation, atmospheric attenuation and thermal radiation distribution, the grey value of interference source is close to or equal to the target grey value. With the distance between the imaging system and the target being very long, the target is dotted or mottled in the image. In addition, the target motion is usually unknown and abrupt. All these factors cause the negative effect of small target detection. In this paper, we present a motion estimation and spatial-temporal filter-based algorithm to detect infrared small targets under complex background. The algorithm is divided into three steps: (1) researching the image transformation technology from greyscale pattern to entropy pattern;(2) studying the anisotropic smoothing and local constraint criterion of entropy flow;and (3) introducing spatial-temporal filter for detecting small targets through energy accumulation and trial search of targets. Compared to other methods, experimental results indicate that the proposed method can robustly detect small targets under complicated background. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Entropy

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Angel girl of visually impaired artists: Painting navigation system for blind or visually impaired painters 34

Angel girl of visually impaired artists: Painting navigation...

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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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Improved SAI Method using Non-local Spatial Constraint for image Interpolation

Improved SAI Method using Non-local Spatial Constraint for I...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Jueping Bian Zongliang Gan Mengcheng Zhang Xiuchang Zhu Jiangsu province key lab on image processing & image communication NUPT Nanjing China

This paper proposes an improved image interpolation method based on the soft-decision adaptive interpolation (SAI) algorithm. Natural images often contain repeatable patterns and structures throughout the image, which is called non-local property. We can use this non-local strategy to improve the interpolation quality by better estimating the model parameters and Lagrangian multiplier. There are two steps in our method. In the first step, similar patches of the given block are found in the initialized high resolution image, and the model parameters can be determined properly using the expanded piecewise auto regression (PAR) model and non-local spatial constraint. In the second step, the self-similarity of patches across the high and low resolution images is exploited to solve the Lagrangian multiplier λ, thus to make the data estimation robust. Experiments indicate that the improved method can achieve good results both subjectively and objectively.

关键词： image interpolation the SAI algorithm non-local self-similarity

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A New Pulmonary Nodule Detection Based on Multiscale Convolutional Neural Network with Channel and Attention Mechanism 8th

A New Pulmonary Nodule Detection Based on Multiscale Convolu...

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8th International Conference on Signal and Information processing, Network and Computers, ICSINC 2021

作者： Zhao, Yingying Wang, Jiaxin Wang, Xiaomin Wan, Honglin Shandong Province Key Laboratory of Medical Physics and Image Processing Technology School of Physics and Electronic Shandong Normal University Shandong Jinan250300 China

ISBN: (纸本)9789811933868

In this stage of pulmonary nodules image processing, the pulmonary nodule detection and recognition based on 3D CNN has achieved great success in medical image processing. The tradition pulmonary nodule detection model has a low detection accuracy, in order to more accurately detect the pathological pulmonary nodules, this paper proposes a novel 3D CNN model based on multiscale architecture with channel and spatial attention. That is to say, multi-scale feature extraction module and attention mechanism are added to some residual blocks in 3D Fast-R-CNN, which can improve the performance of the whole network and better learn the features of candidate nodes;Secondly, in the part of regional proposal network, U-Net network and Fast RCNN are combined. The method on LUNA16 dataset shows that the average free-response receiver operating characteristic (FROC) score is 0.848 which is better than other methods. The proposed method can well reduce false positives and improve detection accuracy, providing a reference for clinical medicine. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Feature extraction

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Single-Component Color-Tunable Smart Organic Emitters with Simultaneous Multistage Stimuli-Responsiveness and Multimode Emissions

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Research 2024年第2期2023卷 719-728页

作者： Yu Yan Chengfang Liu Jianzhong Fan Yusheng Li Huanling Liu Qian Wang Xiangchun Lil Junfeng Li Wen-Yong Lai State Key Laboratory of Organic Electronics and Information Displays(SKLOEID) Institute of Advanced Materials(IAM)School of Chemistry and Life SciencesNanjing University of Posts&Telecommunications9 Wenyuan RoadNanjng 210023China Shandong Province Key Laboratory of Medical Physics and Image Processing Technology School of Physics and ElectronicsShandong Normal UniversityJinan 250358China

Achieving color-tunable emission in single-component organic emitters with multistage stimuli-responsiveness is of vital significance for intelligent optoelectronic applications,but remains enormously ***,we present an unprecedented example of a color-tunable single-component smart organic emitter(DDOP)that simultaneously exhibits multistage stimuli-responsiveness and multimode *** based on a highly twisted amide-bridged donor-tcceptor-donor structure has been found to facilitate intersystem crossing,form multimode emissions,and generate multiple emissive species with multistage *** pristine crystalline powders exhibit abnormal excitation-dependent emissions from a monomer-dominated blue emission centered at 470 nm to a dimer-dominated yellow emission centered at 550 nm through decreasing the ultraviolet(UV)excitation wavelengths,whereas DDOP single crystals show a wide emission band with a main emission peak at 585 nm when excited at different *** emission behaviors of pristine crystalline powders and single crystals are different,demonstrating emission features that are closely related to the aggregation *** work has developed color-tunable single-component organic emitters with simultaneous multistage stimuli-responsiveness and multimode emissions,which is vital for expanding intelligent optoelectronic applications,including multilevel information encryption,multicolor emissive patterns,and visual monitoring of UV wavelengths.

关键词： donor excitation Smart

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An improved algorithm of search for compressive sensing image recovery based on lp norm

An improved algorithm of search for compressive sensing imag...

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Chinese Automation Congress, CAC 2015

作者： Yuan, Jiang Pei, Shen Ping, Zhao Yang, Daiji Zhen, Chen Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang330063 China College of Information Engineering Nanchang Hangkong University 330063 China

Compressed sensing theory by developing a signal sparse features, under the condition of far less than the Nyquist sampling rate, the correct signal is acquired with random sampling the discrete samples, and then thro... 详细信息

ISBN: (纸本)9781467371896

关键词： image reconstruction

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Homography matrix genetic consensus estimation algorithm

Homography matrix genetic consensus estimation algorithm

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2010 International Conference on Audio, Language and image processing, ICALIP 2010

作者： Yao, Da Zhou, Jun Xue, Zhi Institute of Image Communication and Information Processing Shanghai Jiao Tong Universit 200240 Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmissions 200240 Shanghai China

ISBN: (纸本)9781424458653

Homography matrix plays an important role in image stitching, camera calibration and other areas of computer vision. This paper presents a novel robust algorithm HM-GCE to estimate homography matrix with principles of genetic algorithm. Related experiments prove its superiority on the robustness, precision and time-consuming compared to the RANSAC algorithm. ©2010 IEEE.

关键词： Genetic algorithms

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A phase matching and region segmentation stereo depth mixed extraction algorithm

A phase matching and region segmentation stereo depth mixed ...

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2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2010

作者： Liu, Shengxia Zhou, Jun Wu, Meng Institute of Image Communication and Information Processing Shanghai Jiao Tong University 200240 Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmissions 200240 Shanghai China

ISBN: (纸本)9781424444625

This paper presents a novel dense disparity estimation method using phase matching and color segmentation. In the proposed method, the initial disparity map is firstly obtained by an improved phase-based stereo matching solution. The solution effectively restrains two tough problems of phase singularities and phase wrap, in a coarse-to-fine approach, by using Dual-Tree Complex Wavelet Transform (DT CWT) to extract the phase of the stereo images. The initial disparity is then refined by color segmentation and disparity plane fitting. Segmentation-based methods have an advantage of well representation of disparities on discontinuous region. Experimental results indicate that the proposed method is superior in generating disparity maps with high accuracy and clean edges.

关键词： Extraction

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