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检索条件"任意字段=Conference on Algorithms, Devices, and Systems for Optical Information Processing III"

共 250 条记录，以下是1-10 订阅

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Development of an Entry-Exit Decision Algorithm for Bus Passenger Counting Using Cameras 16

Development of an Entry-Exit Decision Algorithm for Bus Pass...

引用

2024 16th International conference on Graphics and Image processing, ICGIP 2024

作者： Nishiura, Tsubasa Yokoyama, Soichiro Yamashita, Tomohisa Kawamura, Hidenori Sato, Yoshimi Hasegawa, Rei Hirasawa, Miyuki Faculty of Information Science and Technology Hokkaido University Kita 14 Nishi 9 Kita-ku Hokkaido Sapporo060-0814 Japan C’s Lab Co. Ltd. 3 Kita 1-jo Nishi 7-chome Chuo-ku Hokkaido Sapporo060-0001 Japan

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

In recent years, entry-exit management technologies have gained attention due to the rise of smart cities and the proliferation of IoT devices. These technologies are used not only in indoor environments like offices and retail stores but also in outdoor settings such as public transportation. Particularly in public transport, there is growing demand for Origin-Destination (OD) data collection to better understand passenger movement. In this study, we developed a system to estimate the number of passengers boarding and alighting from buses by installing cameras at the bus doors and capturing video footage of passengers. The system utilizes person detection and tracking algorithms to estimate passenger trajectories and applies a deep neural network (DNN) model to classify whether a detected individual is boarding or alighting. We introduced a DNN model for binary classification to determine whether individuals are inside or outside the bus, using bounding box and time information. By performing a grid search, we identified optimal model parameters. The system was tested using both YOLOR and the latest YOLOv10 object detectors, and the MPNTrack person tracking algorithm. The combination of YOLOv10 and the DNN model achieved an error rate of 11.7% for the entrance camera, while YOLOR and the DNN model achieved an error rate of 0.803% for the exit camera, significantly improving the accuracy over previous methods. This study demonstrates that integrating object detection, tracking, and DNN-based classification improves the accuracy of passenger counting systems, which is crucial for the effective management of public transportation systems. © 2025 SPIE.

关键词： Deep neural networks

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algorithms, devices, and systems for optical information processing iii / Bahram Javidi, Demetri Psaltis, chairs/editors;sponsored and published by SPIE--The International Society for optical Engin

Algorithms, devices, and systems for optical information pro...

引用

1999年

作者： Bahram Javidi Demetri Psaltis chairs/editors sponsored and published by SPIE--The International Society for optical Engineering.

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Multi-attitude based target localization method

Multi-attitude based target localization method

引用

2024 International conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024

作者： Yan, Suqing Xu, Xiaoyue Xiao, Jianming Ji, Yuanfa Hawari Bin Ghazali, Kamarul Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology Guilin China School of Information and Communication Guilin University of Electronic Technology Guilin China Department of Science and Engineering Guilin University Guilin China National & Local Joint Engineering Research Center of Satellite Navigation Localization and Location Service GUET-Nanning E-Tech Research Institute Co. Ltd. Nanning China Centre for Advanced Industrial Technology University of Malaysia Pahang Al Sultan Abdullah Pekan Campus Pahang Pekan Malaysia

ISBN: (纸本)9781510689176

In recent years, location-based services have gradually penetrated all aspects of people's daily life, bringing great convenience to people's work and life. Pedestrian Dead Reckoning (PDR) is a positioning method that can derive a pedestrian's movement trajectory by relying on sensors information, with a high degree of autonomy and continuity. However, existing PDR tends to restrict the target posture to remain steadily pointing in the direction of pedestrian movement throughout the localization process. In addition, although it can achieve a high degree of positioning accuracy in a short period of time, it generates a cumulative error over time. To these problems, this paper proposes a fusion localization method that combines PDR based on multiple smartphones pose recognition and acoustic localization. In this method, we first employ a GWO-ELM based target posture recognition model. Then based on the posture recognition result for PDR localization, Time Difference of Arrival (TDOA) technique is used for acoustic localization. Finally, particle filtering is utilized to combine the two methods. To demonstrate the validity of the method, we performed several experiments on a motion trajectory with a length of 97.2 meters. The results show that the method has better localization performance than the traditional method. In addition, it can realize high-precision localization under different devices with universality and stability. © 2025 SPIE.

关键词： Acoustics Target recognition Detection and tracking algorithms Particles Sensors Education and training Gesture recognition Satellite navigation systems Tunable filters Machine learning

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A Substation Safety Measure Ticket Generation Algorithm based on Neural Network and Inference Engine

A Substation Safety Measure Ticket Generation Algorithm base...

引用

Intelligent systems and Computational Networks (ICISCN), International conference on

作者： Yin Wu Huicai Zhao Xingfu Huang Liqiong Huang Yuyang Hu Guangxi Power Grid Power Dispatching and Control Center Nanning China Guangxi Power Grid Limited Liability Company Nanning Power Supply Bureau Nanning China Guangxi Power Grid Limited Liability Company Guilin Power Supply Bureau Guilin China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

Intelligent substations use fiber optic as the information transmission medium, transforming the interconnection relationship between secondary devices into fiber optic connections. The corresponding secondary circuits and hardware platforms are replaced with virtual circuits and software templates, resulting in a significant change in maintenance work methods and higher requirements for operators' maintenance work. This article proposes an intelligent substation safety measure ticket generation algorithm based on multi-scale feature convolutional neural network (MSF-CNN) and inference machine. Firstly, a neural network model suitable for safety ticket generation was designed and trained. Combining the structural characteristics of DenseNet, multi-scale feature extraction and logical relationship modeling were achieved through multi-layer convolution, concatenation, and pooling processing. The model uses hyperbolic tangent function as the activation function to improve the accuracy of regression prediction. Secondly, a custom word vector and equipment association modeling method based on SCD file parsing are proposed for the electricity proprietary terms and multi item logical relationships involved in the safety measures ticket text, in order to improve data expression accuracy and model understanding ability. In addition, based on the functional correlation and input-output interaction characteristics of substation equipment, a three-layer neural network-based inference engine was constructed to generate maintenance safety measures for primary and secondary equipment. The experimental results showed that the MSF-CNN model performed the best in accuracy, recall, and F1 score, with an accuracy of 92.5%, recall of 90.8%, and F1 score of 91.6%.

关键词： optical fibers Substations Accuracy Neural networks Training data Data models Inference algorithms Safety Maintenance Engines

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Polarization encoding for optical security systems

Polarization encoding for optical security systems

引用

conference on algorithms, devices, and systems for optical information processing iii

作者： Javidi, B Nomura, T Univ Connecticut Dept Elect & Syst Engn Storrs CT 06269 USA

ISBN: (纸本)0819432903

An idea for security verification of identification such as passports, credit cards, and others in terms of difficulty of reproduction is proposed The polarization information is used for security verification. As the state of the polarization encoded cannot be seen by an ordinary intensity sensitive device such as a CCD camera, it cannot be copied For optical validation system, a joint transform correlator is used. Computer simulations and optical experimental results are shown to confirm our proposed method.

关键词： optical security validation polarization encoding joint transform correlator

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optical encryption using joint transform correlator architecture for robust alignment

Optical encryption using joint transform correlator architec...

引用

conference on algorithms, devices, and systems for optical information processing iii

作者： Nomura, T Javidi, B Wakayama Univ Dept Optomechatron Wakayama 6408510 Japan

ISBN: (纸本)0819432903

A novel architecture for the double random phase encoding optical encryption system using a joint transform correlator is proposed. In the proposed method, the joint power spectrum of the image to be encrypted and the key code is recorded as the encrypted power spectrum. Owing to the joint transform architecture, the alignment of the image and the key code is robust. Computer simulations using a computer generated hologram is presented to confirm our proposed system.

关键词： optical encryption joint transform correlator computer generated hologram

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Multidimensional photon echo optical processing

Multidimensional photon echo optical processing

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conference on algorithms, devices, and systems for optical information processing iii

作者： Wagner, K Anderson, K Univ Colorado Dept Elect & Comp Engn Ctr Optoelect Comp Syst Boulder CO 80309 USA

ISBN: (纸本)0819432903

In this paper we show how to use holographic photon echoes for the implementation of a variety of optical processing functions, including scanners, spectrum analyzers, time-integrating correlators, folded spectrum analyzers, ambiguity function processors, image sequence correlators, and folded image raster correlators. The combination of optical coherent transients operating as spatial-spectral holograms with acoustooptic deflectors and electrooptic modulators allows a variety of optical architectures to be implemented with substantially enhanced performance and functionality beyond that achievable by these technologies individually We show how to utilize the basic architectures presented here as building blocks of more powerful and complex real-time optical processing systems.

关键词： photon echoes optical coherent transients spatial-spectral holography acoustooptics signal processing correlators

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Encrypted holographic memory using angular multiplexing in LiNbO₃:Fe

Encrypted holographic memory using angular multiplexing in L...

引用

conference on algorithms, devices, and systems for optical information processing iii

作者： Matoba, O Javidi, B Univ Tokyo Inst Ind Sci Meguro Ku Tokyo 1538505 Japan

ISBN: (纸本)0819432903

An encrypted holographic memory based on double random phase encoding and angular multiplexing is presented. A two-dimensional digital image is encrypted by two random phase codes located at the input and Fourier planes. The input digital image is displayed on a liquid crystal display. In a photorefractive LiNbO3:Fe crystal, Fourier-transformed patterns of encrypted images are stored holographically by using angular multiplexing. Experimental results of encryption and decryption of digital data ate presented.

关键词： optical encryption holographic memory angular multiplexing photorefractive effect

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Legacy of optical information processing

Legacy of optical information processing

引用

conference on Photonic devices and algorithms for Computing iii

作者： Yu, FTS Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)0819441848

optical information processing can perform a myriad of signal processing operations. It is primarily due to the complex amplitude processing capability. optical information processors are capable of performing one- or two-dimensional operations using simple linear operators. However, it would not happen without the support of coherent property of illumination. In this paper we shall discuss the inherent optical complex transformation, by which information data processing can be exploited. Fourier and spatial domain processing, composite filtering, 3-D pattern recognition, larger capacity photo-refractive processing, optical neural computing and others will be stressed.

关键词： optical information processing image processing signal processing spatial domain processing

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Analysis of the robustness of a double phase encoding system to a perturbation of the coded image.

Analysis of the robustness of a double phase encoding system...

引用

conference on algorithms, devices, and systems for optical information processing iii

作者： Goudail, F Réfrégier, P Ecole Natl Super Phys Marseille Lab Signal & Image F-13397 Marseille 20 France

ISBN: (纸本)0819432903

We consider the recently proposed double phase encoding system, and we analyze the influence of a perturbation of the coded image on the decoded image. Since in optical implementations, the intensity of the decoded image is measured at the output of the decoding system, we express the signal-to-noise ratio (SNR) on the intensity decoded image as a fonction of the amplitude SNR of the complex coded image. We show that there exists a simple relation between these two SNR's, and that this relation is quasi-independent of the nature of the coded image perturbation. The results presented in this paper could help characterizing the precision level of the components of the optical decoding system necessary to reach a pre-defined quality level of the decoded image.

关键词： Signal to noise ratio Computer programming Image encryption Image processing Image quality Quantization Numerical simulations Error analysis Image analysis Zoom lenses

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