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Segment attention-guided part-aligned network for person re-identification

ELECTRONICS LETTERS 2021年第13期57卷 508-510页

作者： Wang, Wen Liu, Yongwen An, Gaoyun Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing Peoples R China

Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re-identification. This letter examines Res2Net as the backbone network to extract multi-scale appearance features. At the same time, it uses the human parsing model to extract part features, which can be used as an attention stream to guide part features re-calibration from the spatial dimension. Additionally, in order to ensure the diversity of features, SAG-PAN effectively integrates the global appearance features of person image with part fine-grained features. The experimental results on the Market-1501, DukeMTMC-reID and CUHK03 datasets show that the proposed SAG-PAN achieved superior performance against the existing state-of-the-art methods.

关键词： Optical, image and video signal processing image recognition computer vision and image processing techniques

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Two-way constraint network for RGB-Infrared person re-identification

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ELECTRONICS LETTERS 2021年第17期57卷 653-655页

作者： Zeng, Haitang Hu, Weipeng Chen, Dihu Hu, Haifeng Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China

RGB-Infrared person re-identification (RGB-IR Re-ID) is a task aiming to retrieve and match person images between RGB images and IR images. Since most surveillance cameras capture RGB images during the day and IR images at night, RGB-IR Re-ID is helpful when checking day and night surveillance for criminal investigations. Previous related work often only extracts sharable and identity-related features in images for identification. Few researches specifically extract and make use of features that do not have the ability to distinguish identity, e.g. identity-unrelated features derived from background and modality. In this Letter, we propose a novel and concise RGB-IR Re-ID network named two-way constraint network (TWCN). Compared with traditional Re-ID networks, TWCN not only extracts and utilises identity-related features but also novelly makes full use of identity-unrelated features to improve the accuracy of the experiment. TWCN uses a reverse-triplet loss to extract identity-unrelated features, and proposes an orthogonal constraint to remove identity-unrelated information from identity-related features, which improves the purity of identity-related features. In addition, a correlation coefficient synergy and central clustering (CCSCC) loss is introduced into TWCN to extract identity-related features effectively. Extensive experiments have been conducted to prove our method is effective.

关键词： Optical, image and video signal processing image sensors computer vision and image processing techniques Data handling techniques Neural nets

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Fault diagnosis of power capacitors using a convolutional neural network combined with the chaotic synchronisation method and the empirical mode decomposition method

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IET SCIENCE MEASUREMENT & TECHNOLOGY 2021年第7期15卷 551-561页

作者： Lu, Shiue-Der Sian, Hong-Wei Wang, Meng-Hui Kuo, Cheng-Chien Natl Chin Yi Univ Technol Dept Elect Engn 57Zhongshan RdSec 2 Taichung 41170 Taiwan Natl Taiwan Univ Sci & Technol Dept Elect Engn 43Keelung RdSec 4 Taipei 106335 Taiwan

This study combined a Convolutional Neural Network (CNN) with the chaos theory and the Empirical Mode Decomposition (EMD) method for the attenuation fault recognition of power capacitors. First, it built six capacitor analysis models, including normal capacitors, failed capacitors, and normal capacitors attenuated by 20-80%. Then a power testing machine was used for an applied voltage test of the capacitor. The EMD method was combined with the chaos synchronisation detection method to chart the discharge signals of the voltage and current that was captured by a high frequency oscilloscope into a 3D chaotic error scatter plot, as the fault diagnosis feature image. Finally, the CNN algorithm was used for the capacitor fault detection. The advantages of the proposed method are that big data are compressed to extract meaningful feature images, the operating state of the power capacitor can be detected effectively, and faults can be diagnosed according to the electrical signal change of the power capacitor. The actual measurement results showed that the accuracy of the proposed method was as high as 97% and has a high efficiency of noise rejection ability, which indicates that the method could be applied to other power-related fields in the future.

关键词： Optical, image and video signal processing Signal processing and detection computer vision and image processing techniques Other topics in statistics Other topics in statistics Capacitors Other power apparatus and electric machines

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Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

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HEALTHCARE TECHNOLOGY LETTERS 2021年第2期8卷 25-30页

作者： Zhu, Tingting Javed, Hamza Clifton, David A. Univ Oxford Dept Engn Inst Biomed Engn Oxford England

The rapid proliferation of wearable devices for medical applications has necessitated the need for automated algorithms to provide labelling of physiological time-series data to identify abnormal morphology. However, such algorithms are less reliable than gold-standard human expert labels (where the latter are typically difficult and expensive to obtain), due to their large inter- and intra-subject variabilities. Actions taken in response to these algorithms can therefore result in sub-optimal patient care. In a typical scenario where only unevenly sampled continuous or numeric estimates are provided, without access to the ground truth, it is challenging to choose which algorithms to trust and which to ignore, or even how to merge the outputs from multiple algorithms to form a more precise final estimate for individual patients. In this work, the novel application of two previously proposed parametric fully-Bayesian graphical models is demonstrated for fusing labels from (i) independent and (ii) potentially correlated algorithms, validated on two publicly available datasets for the task of respiratory rate (RR) estimation. These unsupervised models aggregate RR labels and estimate jointly the assumed bias and precision of each algorithm. Fusing estimates in this way may then be used to infer the underlying ground truth for individual patients. It is shown that modelling the latent correlations between algorithms improves the RR estimates, when compared to commonly employed strategies in the literature. Finally, it is demonstrated that the adoption of a strongly Bayesian approach to inference using Gibbs sampling results in improved estimation over the current state-of-the-art (e.g. hierarchical Gaussian processes) in physiological time-series modelling.

关键词： Probability theory, stochastic processes, and statistics Optical, image and video signal processing computer vision and image processing techniques Other topics in statistics Other topics in statistics Patient diagnostic methods and instrumentation Biology and medical computing

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Optical phase-sensitive amplification of higher-order QAM signal with single Mach-Zehnder amplitude modulator

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ELECTRONICS LETTERS 2021年第1期57卷 32-33页

作者： Shimizu, S. Kobayashi, T. Kazama, T. Umeki, T. Enbutsu, K. Kasahara, R. Miyamoto, Y. NTT Corp NTT Network Innovat Labs Yokosuka Kanagawa Japan NTT Corp NTT Device Technol Labs Atsugi Kanagawa Japan

An optical phase-sensitive amplifier (PSA) has the potential of low-noise optical amplification. A frequency non-degenerate PSA (ND-PSA) can amplify arbitrary modulation formats including higher-order QAM. The ND-PSA requires a co-propagating phase conjugated light (idler light) that has been conventionally created with an optical phase conjugator at the transmitter side. We propose a transmitter configuration using simultaneous signal generation of both a signal and its idler by double-sideband modulation for transmission systems with ND-PSAs. The proposed scheme provides a simple configuration with a single Mach-Zehnder amplitude modulator without optically creating the idler light. We performed experiments using 16QAM, 32QAM, and probabilistically shaped 256QAM signals. As a result, a phase-sensitive amplification with each modulation format was successfully demonstrated using the proposed transmitter configuration.

关键词： Fibre lasers and amplifiers Optical phase conjugation Multiwave mixing Optical beam modulators Optical computers, logic elements, and interconnects Amplifiers Optical phase conjugation and multiwave mixing Modulation and coding methods Optical, image and video signal processing Optical communication equipment computer vision and image processing techniques Other topics in statistics Optical logic devices and optical computing techniques Fibre lasers and amplifiers

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Proposal of layered mental healthcare for mental well-being

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HEALTHCARE TECHNOLOGY LETTERS 2021年第4期8卷 85-89页

作者： Kiguchi, Masashi Sutoko, Stephanie Atsumori, Hirokazu Nishimura, Ayako Obata, Akiko Funane, Tsukasa Nakagawa, Hiromitsu Egi, Masashi Kuriyama, Hiroyuki Hitachi Ltd Ctr Exploratory Res 1-280 Higashi Koigakubo Kokubunji Tokyo 1858601 Japan Hitachi Ltd Lumada Data Sci Lab Kokubunji Tokyo Japan Hitachi Ltd Cent Technol Innovat Kokubunji Tokyo Japan Hitachi Ltd Global Ctr Social Innovat Kokubunji Tokyo Japan

A new concept, 'Layered mental healthcare' for keeping employees mental well-being in the workplace to avoid losses caused by both absenteeism and presenteeism is proposed. A key factor forming the basis of the concept is the biometric measurements over three layers, i.e., behaviour, physiology, and brain layers, for monitoring mental/distress conditions of employees. Here, the necessity of measurements in three layers was validated by the data-driven approach using the preliminary dataset measured in the office environment. Biometric measurements were supported by an activity tracker, a PC logger, and the optical topography;mental/distress conditions were quantified by the brief job stress questionnaire. The biometric features obtained 1 week before the measurement of mental/distress scores were selected for the best regression model. The feature importance of each layer was obtained in the learning process of the best model using the light graded boosting machine and was compared between layers. The ratio of feature importance of behaviour:physiology:brain layers was found to be 4:3:3. The study results suggest the contribution and necessity of the three-layer features in predicting mental/distress scores.

关键词： computer vision and image processing techniques Human resource management Health and safety aspects Biology and medical computing

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A dual distance metrics method for improving classification performance

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ELECTRONICS LETTERS 2021年第1期57卷 13-16页

作者： Wu, Lian Xu, Yong Zhao, Yong Hu, Zhijun Sun, Lilei Guizhou Educ Univ Sch Math & Big Data Guiyang Peoples R China Guizhou Univ Coll Comp Sci & Technol Guiyang Peoples R China Harbin Inst Technol Biocomp Res Ctr Shenzhen Peoples R China Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China

Distance metric forms the basis of pattern classification, as almost all classifiers depend on such a metric for making classification decisions. However, the existing research testifies that a single-distance metric is not robust enough for classification. In this Letter, the authors propose a dual distance metrics method and modify collaborative representation using dual distance metrics, that is, collaborative representation related class distance and conventional sample distance. These two distance metrics are fused by a parameter-free multiplication scheme. The rationale of the designed multiplication fusion can be interpreted from the viewpoint of probability. As the multiplication fusion exploit the two distance metrics effectively and allow the best of the distance metrics to dominate the final classification decision, the improved collaborative representation based on dual distance metric can achieve a very high accuracy rate. Experimental results show that the proposed method has promising performance. It is also noted that the values of the two distance metrics vary with the test sample, therefore, the two distance metrics play different roles for different test samples. In other words, the two distance metrics are adaptive for test samples. The idea of the dual distance metrics method is also suitable for other combinations of other distance metrics.

关键词： computer vision and image processing techniques Data handling techniques Other topics in statistics

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Towards fully domain-independent gesture recognition using COTS WiFi device

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ELECTRONICS LETTERS 2021年第5期57卷 232-234页

作者： Yin, Yuqing Zhang, Zixin Yang, Xu Yan, Faren Niu, Qiang China Univ Mining & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China

This letter proposes a fully domain-independent WiFi-based gesture recognition system based on the multi-label adversarial network. Unlike pioneer machine learning works, our system does not require retraining in the target domain, which benefits from our key idea of eliminating fully domain information such as orientations, locations, environment information. The system proposed by us includes three parts: Feature extractor, domain discriminator, and gesture recogniser. The feature extractor attempts to deceive the domain discriminator based on the adversarial network structure so that it is difficult to judge the input domain label, thereby obtaining domain-independent features and realising fully domain-independent gesture recognition. Extensive experiments are conducted on the Widar 3.0 dataset and our dataset to evaluate system performance. The results show that our system can achieve an in-domain recognition accuracy of 93.2% and a cross-domain recognition accuracy of 87.1%, which is superior to other state-of-the-art works.

关键词： image recognition computer communications computer vision and image processing techniques

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A BCS microwave imaging algorithm for object detection and shape reconstruction tested with experimental data

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ELECTRONICS LETTERS 2021年第2期57卷 88-91页

作者： Zilberstein, Nicolas Augusto Maya, Juan Altieri, Andres Univ Buenos Aires Fac Ingn Buenos Aires DF Argentina CSC CONICET Buenos Aires DF Argentina

An approach based on the Green function and the Born approximation is used for impulsive radio ultra-wideband microwave imaging, in which a permittivity map of the illuminated scenario is estimated using the scattered fields measured at several positions. Two algorithms are applied to this model and compared: the first one solves the inversion problem using a linear operator. The second one is based on the Bayesian compressive sensing technique, where the sparseness of the contrast function is introduced as a priori knowledge in order to improve the inverse mapping. In order to compare both methods, measurements in real scenarios are taken using an ultra-wideband radar prototype. The results with real measurements illustrate that, for the considered scenarios, the Bayesian compressive sensing imaging algorithm has a better performance in terms of range and cross-range resolution allowing object detection and shape reconstruction, with a reduced computational burden, and fewer space and frequency measurements, as compared to the linear operator.

关键词： Dielectric permittivity Optical, image and video signal processing Radar equipment, systems and applications computer vision and image processing techniques

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Medical image interpretation training with a low-cost eye tracking and feedback system: A preliminary study

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HEALTHCARE TECHNOLOGY LETTERS 2021年第4期8卷 97-103页

作者： Quen, Mathieson Tan Zui Mountstephens, J. Teh, Yong Guang Teo, J. Univ Malaysia Sabah Fac Comp & Informat Kota Kinabalu 88400 Sabah Malaysia Univ Malaysia Sabah Fac Med & Hlth Sci Kota Kinabalu Sabah Malaysia

All medical students must learn to detect tumours in chest X-ray films. Eye tracking technology may be able to improve the training of this skill, with the potential benefit of saving thousands of lives each year. Eye trackers can record where students actually look in relation to known abnormalities in images, allowing the automated provision of corrective feedback during medical training. Research using dedicated eye tracking units suggests their potential as pedagogical tools but this hardware can be expensive, which prevents their use by medical students. To overcome this financial barrier, this project used eye tracking based on low-cost webcams to develop a system with the potential to allow all medical students to improve their interpretation skills. In self-study mode, students can practice and improve based on automated performance feedback in a browser-based system. Improvements in performance over time can be determined and mistakes can be played back and analysed for correction. Eight medical trainees used the system on a custom dataset of 60 chest X-ray images and were able to improve their decision times by self-study alone. The system was also rated highly for its ability to provide valuable objective information during subsequent one-on-one instruction sessions.

关键词： medical computing Patient diagnostic methods and instrumentation User interfaces feedback system biomedical education dedicated eye tracking units medical students Biology and medical computing computer vision and image processing techniques browser-based system computer aided instruction Optical, image and video signal processing corrective feedback potential benefit eye low-cost eye tracking diagnostic radiography computer-aided instruction interpretation skills medical image interpretation training eye trackers project used eye tracking tumours medical training eye tracking technology 60 chest X-ray images automated performance feedback medical image processing medical trainees human computer interaction computer based training chest X-ray films low-cost webcams

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