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检索条件"主题词=Detection and tracking algorithms"

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Lightweight object detection algorithm for unmanned surface vehicle in inland river based on improved YOLOv8

Lightweight object detection algorithm for unmanned surface ...

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2024 International Conference on Automation Control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Xiao, Shigang Dong, Ruixin Wuhan University of Science and Technology Wuhan430081 China

ISBN: (纸本)9781510682597

In order to address the challenge of inland water surface object detection, where small objects account for a large proportion and are prone to detection failures, limited GPU resources on embedded platforms, and deployment difficulties in unmanned surface vehicle (USV) object detection tasks, an improved lightweight YOLOv8 algorithm for surface object detection is proposed. Firstly, to mitigate noise interference and omission of small surface objects during downsampling in the backbone network, a Dilation-wise Residual (DWR) module is introduced to enhance the C2f module to efficiently acquire more contextual information and increase the model’s attention to small objects. In addition, given the complexity of the neck of the original network, a new feature fusion network, Multi-scale Screening-feature Pyramid Networks (MSFPN), is designed in this paper to reduce model complexity while maintaining accuracy. The experimental results demonstrate that the proposed algorithm achieves a 1.1% improvement in average accuracy (mAP0.5) for surface objects, with a 36.54% reduction in model parameters and a 14.81% reduction in computational load. It is proved that the proposed DM-YOLOv8 network model has better and more reliable performance in detecting the water surface of inland rivers and can meet the needs of safe autonomous navigation of USV with high real-time and flexibility requirements. © 2024 SPIE.

关键词： Object detection detection and tracking algorithms Feature extraction Feature fusion Convolution Performance modeling Autonomous vehicles Network architectures

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An improved YOLOv7-tiny algorithm for dense pedestrian detection 4

An improved YOLOv7-tiny algorithm for dense pedestrian detec...

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4th International Conference on Image Processing and Intelligent Control, IPIC 2024

作者： Jiang, Wentao Wang, Zijian School of Software Liaoning Technical University Liaoning Huludao125105 China

ISBN: (纸本)9781510682313

In view of the missing detection and false detection of the current pedestrian detection model in the dense pedestrian scene, a dense pedestrian detection algorithm based on Yolov7-tiny was proposed. In order to solve the problem of missing pedestrian target features in dense pedestrian detection scenarios, the dynamic convolution module and the improved RO-ELAN module are used in the backbone network to make the network focus on the important features of dense pedestrians through dynamic convolution, which effectively reduces the impact of feature loss on model detection. In order to solve the problem that small target pedestrians are easy to be missed in dense pedestrian detection scenarios, the BIFPN idea, CARAFE upsampling operator and the improved Rep-ELAN-B module are introduced to improve the detection performance of the model by using the small target feature information in the medium and low-dimensional feature *** average detection accuracy of the improved model reached 83.4%, which was 2.7% higher than that of the baseline *** experimental results show that the proposed algorithm can be better applied to dense pedestrian detection scenarios. © 2024 SPIE.

关键词： detection and tracking algorithms Convolution Feature fusion Feature extraction Education and training Ablation Performance modeling Small targets Target detection Sensors

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A load balancing control approach for software-defined networks for microservices architecture 9

A load balancing control approach for software-defined netwo...

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9th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2024

作者： Wang, Ce Zhong, Ye Zhu, Xianfeng Gan, Rundong He, Xi Information Center of Guizhou Power Grid Co. Ltd Guizhou Guiyang550000 China

ISBN: (纸本)9781510683303

With the increasing network size and rapid growth of network traffic, a single software-defined network controller is no longer able to meet the reliability and scalability issues facing network management. In the current environment, network management has become more complex and requires more robust solutions to meet the challenges. Therefore, software-defined network load balancing control techniques for microservice architectures have emerged. Based on different load balancing algorithms, incoming requests are distributed to different service instances according to load balancing policies. In addition, load balancing techniques can help microservice architectures achieve horizontal scaling by increasing or decreasing the number of service instances to cope with changes in system load. According to the experimental results, even in large networks, using this control software-defined network load balancing control method can shorten the length of the control path and keep the controller load low. This means that the microservice-oriented architecture can manage the network more effectively and ensure the efficiency and stability of network transmission. © 2024 SPIE.

关键词： Network architectures Computer architecture Switches detection and tracking algorithms Device simulation Data storage Design Internet Mathematical optimization Telecommunications

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Image reconstruction from its Fourier modulus

Image reconstruction from its Fourier modulus

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18th Congress of the International Commission for Optics - Optics for the Next Millennium

作者： Takahashi, T Takajo, H Oita Natl Coll Technol Oita 8700152 Japan

An iterative algorithm to reconstruct an image from its Fourier modulus is proposed. Although this algorithm is a modification of the conventional iterative Fourier transform algorithm proposed by Fienup, stagnation w... 详细信息

ISBN: (纸本)0819432342

关键词： Reconstruction algorithms Image restoration Computer simulations Fourier transforms Curium detection and tracking algorithms Positive feedback

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Sound visualization based on mechanoluminescent diaphragms

Sound visualization based on mechanoluminescent diaphragms

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Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022

作者： Lee, Hee-Beom Shin, Ho Geun Timilsina, Suman Kim, Ji-Sik Kim, Gi-Woo Department of Mechanical Engineering Inha University 22212 Korea Republic of School of Nano & Adv. Mater. Eng. Kyungpook National University 37224 Korea Republic of

ISBN: (数字)9781510649668

ISBN: (纸本)9781510649651

This preliminary study presents a sound wave visualization method using mechanoluminescent composite diaphragms made of mechanoluminescence particles (SAO). To visualize the acoustic wave, the concept of Cymatics is used to make the sound waves and vibrations observable (the human sense of vision), as it is the most discriminating human sense. The goal of this study is eventually to extract the frequency information from images captured by compact image sensors without fast Fourier transform (FFT) whereas most previous studies on sound visualization focus on a technique used to enhance the understanding of acoustical behaviors, such as reflection, diffraction, and interference. In this study, highly pressure-sensitive mechanoluminescent diaphragms will be fabricated and used to produce the images in response to audible sound excitation such as speech. This initial study will offer the potential application for new means of speech recognition principle because a systematic visual perception of the isolated speech words can be achieved using the proposed sound visualization method. © 2022 SPIE

关键词： Visualization Edge detection Composites Speech recognition Ultraviolet radiation detection and tracking algorithms Digital cameras Particles RGB color model Scanning electron microscopy

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Logo detection and replacement method based on SIFT algorithm

Logo detection and replacement method based on SIFT algorith...

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2022 International Conference on Mechatronics Engineering and Artificial Intelligence, MEAI 2022

作者： Li, Jiyuan Wang, Fei Zhao, Qianyao Wu, Yunhao Tian, Yimin Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9781510663169

Logo recognition technology can be used to identify the authenticity of logos, and logo substitution technology can be used to add watermarks to images, print anti-counterfeiting, effect generation, image composition, and even document signing. It can facilitate specific people and protect the rights of the author. This paper is a study of Logo recognition and substitution based on the SIFT algorithm, using the SIFT description to recognize the presence or absence of a pre-stored Logo in the Logo Library. The logo is replaced by a logo from the logo library. © 2023 SPIE.

关键词： detection and tracking algorithms Image processing Feature extraction Visualization Digital watermarking Evolutionary algorithms Printing Mobile communications Neural networks Roads

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Point Cloud Registration Algorithm Based on Neighborhood Feature Similarity for Contour Fitting 16

Point Cloud Registration Algorithm Based on Neighborhood Fea...

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16th International Conference on Digital Image Processing, ICDIP 2024

作者： Yu, Yuewen Lin, Chuchang Chen, Xiaobo Xi, Juntong School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Key Laboratory of Advanced Manufacturing Environment Shanghai200030 China State Key Laboratory of Mechanical System and Vibration Shanghai200240 China

ISBN: (数字)9781510682917

ISBN: (纸本)9781510682900

This paper introduces a point cloud registration algorithm based on neighborhood feature similarity, specifically targeting the challenge of quality optimization in component assembly within the modern manufacturing industry, particularly for precise contour fitting. By enhancing the classic Iterative Closest Point (ICP) algorithm, the study focuses on feature extraction of contour point clouds and improving fitting accuracy. The algorithm incorporates neighborhood feature similarity based on curvature characteristics and multi-neighborhood normal vector variation, along with a loss function design based on contour deviation. Experiments on fitting actual headlight contour point clouds with CAD theoretical model point clouds demonstrate the algorithm's high precision and faster iteration speed in aligning narrow-band point clouds with unclear feature points, significantly outperforming traditional ICP and its variants. The research not only enhances component assembly quality but also provides an effective tool for contour point cloud fitting in complex manufacturing scenarios. © 2024 SPIE.

关键词： Point clouds Headlamps detection and tracking algorithms Computer aided design Contour modeling Manufacturing Mathematical optimization Solid modeling Assembly equipment

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Hierarchical approach to build a compact character recognition system

Hierarchical approach to build a compact character recogniti...

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Document Recognition

作者： Liu, Xueping Ricoh Co. Ltd. (Japan)

ISBN: (纸本)081941476X

This paper proposes a hierarchical approach to build a compact character recognizing system by reducing the redundancy in dictionaries used to match a hand-written sample with its corresponding code. An elemental stroke dictionary and a character dictionary are used. An algebraic describing method of curves is adopted to divide all the strokes into several classes according to their quasi-topological features (convexity, loop, and connectivity) and geometric ones (size, orientation angle, and position in character, etc.). An elemental stroke is extracted statistically from each class so divided. Based on these elemental strokes, a character category is represented by the numbers of stroke and the types of elemental strokes. To recognize a hand-written character, we find out the type of elemental stroke for each stroke in the character at first, and then we identify the category of the input data by matching the types of elemental stroke with those in the character dictionary.

关键词： Associative arrays Optical character recognition Picosecond phenomena System identification Aluminum Computing systems Databases detection and tracking algorithms Electronic support measures Prototyping

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Scientific performance evaluation for distributed sensor management and adaptive data fusion

Scientific performance evaluation for distributed sensor man...

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Conference on Signal Processing, Sensor Fusion, and Target Recognition X

作者： El-Fallah, A Ravichandran, R Mehra, RK Hoffman, J Zajic, T Stelzig, C Mahler, R Alford, M Sci Syst Co Inc Woburn MA 01801 USA

ISBN: (纸本)0819440752

For the last two years at this conference, we have described the implementation of a unified, scientific approach to performance measurement for data fusion algorithms based on finite-set statistics (FISST). FISST makes it possible to directly extend Shannon-type information metrics to multisource, multitarget problems. In previous papers we described application of information Measures of Effectiveness (MoEs) to multisource-multitarget data fusion and to non-distributed sensor management. In this follow-on paper we show how to generalize this work to distributed sensor management and adaptive data fusion.

关键词： Sensors Molybdenum Data fusion detection and tracking algorithms Silicon Monte Carlo methods Solids Metrology Switches Analytical research

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Automatic eye tracking in video image sequence

Automatic eye tracking in video image sequence

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Conference on Signal Processing, Sensor Fusion, and Target Recognition X

作者： Qian, K Zhou, GW Hung, CC Bhattacharya, P Liu, GG So Polytech State Univ Dept Comp Sci Marietta GA 30060 USA

ISBN: (纸本)0819440752

A new algorithm is developed to implement automatic eye tracking without prior reference model and prior knowledge of size, orientation, shape, color, and other data for the human eyes. The algorithm is based on the analysis of the eye features in eye contrast, eye blinking, and other properties. It consists two stages. In the initialization stage the algorithm locates the approximate head location from two consecutive video frames. The size of three same size blocks is determined. They are used to detect the left and right eyes. Two eyes are symmetric and blink simultaneously at all the time. The algorithm extracts the similarity features of two eyes and dissimilarity of eyes from the region between eyes which is represented by middle block. The measures are implemented by the analysis of correlation and horizontal contrast property. The algorithm is able to detect the eye status of blinking eyes and closed eye for a period of time in a video frame sequence. This algorithm is a dynamic automatic eye tracking system that can adapt the environment change and reinitialize if the tracking is lost. The experiments of this method show satisfactory results in term of accuracy and reasonable time complexity. It shows that the method can be applied to eye tracking regardless of skin color, orientation of head, size of head, background changing, or other constraints. The experiments are conducted in targeting to a moving head by 20 frames /second video sequence.

关键词： Eye Video detection and tracking algorithms Automatic tracking Head Algorithm development Skin Computer science Data modeling Eye models

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