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visual sensing in electronic truck coupling

Visual sensing in electronic truck coupling

引用

International conference on image processing (ICIP'99)

作者： Lorei, Marcus Stiller, Christoph Robert Bosch GmbH Hildesheim Germany

This paper presents a novel monocular detection and tracking algorithm of vehicles applied to electronic vehicle coupling at close distances. For the sake of safety and reliability the vehicle to track is marked with a pattern. Such an application demands for measuring reliably and with high precision the position and orientation of the vehicle to follow relative to the pursuing vehicle. Additional requirements are real time capability with respect to standard PC hardware and robustness against strong vibrations, high illumination dynamics and other effects that an automotive image processing application faces typically.

关键词： image analysis

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A High-Performance Parallel Approach to image processing in Distributed Computing 14

A High-Performance Parallel Approach to Image Processing in ...

引用

14th ieee International conference on Application of Information and Communication Technologies (AICT)

作者： Rakhimov, Mekhriddin Mamadjanov, Doniyor Mukhiddinov, Abulkosim Tashkent Univ Informat Technol Dept Comp Engn Tashkent Uzbekistan

ISBN: (纸本)9781728173863

Digital image processing is an actual task in the digital communication systems, IP-telephony and video conferencing, in digital television, and video surveillance. Digital processing of large video images takes a lot of time, especially if it happens in a real-time system. And, processing speed plays an important role in recognition of objects in video images received from IP-cameras in real time. This requires the use of modern technologies, and fast algorithms that increase the acceleration of digital image processing. Acceleration problems have not been fully resolved till present. Today's realities are such that the development of accelerated image processing programs requires a good knowledge of parallel and distributed computing. Both of these areas are united by the fact that both parallel and distributed software consists of several processes that together solve one common problem. This article proposes an accelerated method for the tasks of recognizing objects in video images received from IP-cameras using parallel and distributed computing technologies

关键词： parallel computing distributed computing multi-core processor ZeroMQ multiprocessing spectral analysis of an image fast messaging MPI OpenMP

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Dual-monitor Deterministic Hardware for visual Stimuli Generation in Neuroscience Experiments

Dual-monitor Deterministic Hardware for Visual Stimuli Gener...

引用

32nd Annual International conference of the ieee Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Gazziro, Mario Almeida, Lirio Wernher Von Braun Ctr Adv Res Campinas SP Brazil Univ Sao Paulo Inst Phys Sao Carlos BR-13560 Sao Carlos SP Brazil

ISBN: (纸本)9781424441242

This article describes the development of a dual-monitor visual stimulus generator that is used in neuroscience experiments with invertebrates such as flies. The experiment consists in the visualization of two fixed images that are displaced horizontally according to the stimulus data. The system was developed using off-the-shelf FPGA kits and it is capable of displaying 640x480 pixels with 256 intensity levels at 200 frames per second (FPS) on each monitor. A Raster plot of the experiment with the superimposed stimuli was generated as the result of this work. A novel architecture was developed, using the same DOT Clock for both monitors, and its implementation generates a perfect synchronism in both devices.

关键词： DOT Clock Raster plot bioelectric potentials dual-monitor deterministic hardware field programmable gate arrays fixed image visualization flies insect visual system invertebrate medical image processing neurophysiology neuroscience experiment off-the-shelf FPGA kit spike trains vision visual stimuli generation

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Development of a WWW image retrieval system using the image knowledge database

Development of a WWW image retrieval system using the image ...

引用

International conference on Natural Language processing and Knowledge Engineering

作者： Shishibori, M Koizumi, D Ando, K Tsuge, S Kita, K Univ Tokushima Fac Engn Dept Informat Sci & Intelligent Syst Tokushima Tokushima 7708506 Japan

ISBN: (纸本)0780393619

WWW image retrieval systems can retrieve the corresponding images to the query keyword from WWW, however every system cannot retrieve suitable images with high precision. In this paper, a new WWW image retrieval system using the image knowledge database is proposed. This system can show more suitable images by filtering retrieval results of the conventional system. If the query keyword is not registered in the database, the user must select the suitable ones from image data retrieved by the conventional system, and then features of selected images are registered into the database as the supervised data. If the query keyword is the registered one, more similar images to the supervised data in the database can be indicated in the top order. The experimental results show that the average precision of this system becomes 11.6 % better than the conventional system.

关键词： Internet image registration image retrieval information filtering visual databases WWW image retrieval system image knowledge database query keyword retrieval result filtering

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Deep Learning Model Development with U-net Architecture for Glottis Segmentation 29

Deep Learning Model Development with U-net Architecture for ...

引用

29th ieee conference on Signal processing and communications Applications (SIU)

作者： Derdiman, Yasar Said Koc, Turgay Suleyman Demirel Univ Elekt & Elekt Muhendisligi Bolumu Isparta Turkey

ISBN: (纸本)9781665436496

With the development of technology for detailed examination of the vibration of the vocal cords, the use of highspeed endoscopic camera images has become widespread. Studies conducted to segment the glottis, which is located between the vocal cords of particular interest, from these images use classical segmentation methods such as histogram, active contour, and region enlargement. In this study, a deep learning model was developed for glottis segmentation using the U-Net architecture, which has shown superior performance in biomedical image segmentation in recent years, and the performance of this model was developed on an IRCAM database consisting of 256x256 3000 images, which were manually labeled. It has been compared with classical segmentation methods. However, how the glottis size affects the segmentation performance was examined. As a result of the study, it was observed that system performances decreased as the glottal area size decreased, especially active contour performance decreased significantly, but this effect remained limited in the U-Net model. The developed model showed the highest performance with 0.88 sensitivity and 0.99 accuracy on average regardless of the size of the glottal area. In terms of recall, the histogram-based method yielded the highest result with 0.96. In terms of DICE, U-Net gave the best result with a score of 0.83.

关键词： image processing deep learning U-Net glottis segmentation

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A fast and efficient method to protect color images

A fast and efficient method to protect color images

引用

conference on visual communications and image processing 2007

作者： Chaumont, M. Puech, W. Univ Montpellier 2 CNRS Lab LIRMM UMR 5506 161 Rue Ada F-34392 Montpellier 05 France

ISBN: (纸本)9780819466211

In this paper, we propose a method to embed the color information of an image in a corresponding grey-level image. The objective of this work is to allow free access to the grey-level image and give color image access only if you own a secret key. This method is made of three major steps which are a fast color quantization, an optimized ordering and an adapted data hiding. The principle is to build an index image which is, in the same time, a semantically intelligible grey-level image. In order to obtain this particular index image, which should be robust to data hiding, a layer running algorithm is proceeded to sort the K colors of the palette. The major contributions of this paper are the fast color quantization, the optimized layer running algorithm, the color palette compression and the adapted data hiding.

关键词： data-hiding color image secured color palette compression

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Estimation of multiple motions using block-matching and Markov random fields

Estimation of multiple motions using block-matching and Mark...

引用

conference on visual communications and image processing 2004

作者： Stuke, I Aach, T Barth, E Mota, C Univ Lubeck Inst Signal Proc D-23538 Lubeck Germany

ISBN: (纸本)0819452114

This paper deals with the problem of estimating multiple motions at points where these motions are overlaid. We present a new approach that is based on block-matching and can deal with both transparent motions and occlusions. We derive a block-matching constraint for an arbitrary number of moving layers. We use this constraint to design a hierarchical algorithm that can distinguish between the occurrence of single, transparent, and occluded motions and can thus select the appropriate local motion model. The algorithm adapts to the amount of noise in the image sequence by use of a statistical confidence test. The algorithm is further extended to deal with very noisy images by using a regularization based on Markov Random Fields. Performance is demonstrated on image sequences synthesized from natural textures with high levels of additive dynamic noise.

关键词： Motion models Motion estimation image segmentation Algorithm development Signal to noise ratio Distortion Interference (communication) Motion analysis Signal processing Stochastic processes

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Towards Efficient Learned image Coding for Machines via Saliency-Driven Rate Allocation

Towards Efficient Learned Image Coding for Machines via Sali...

引用

2023 ieee International conference on visual communications and image processing, VCIP 2023

作者： Zhang, Zixiang Yu, Li Zhang, Qiang Mei, Junjun Guan, Tao Huazhong University of Science and Technology Wuhan China ZTE Corporation Nanjing China

ISBN: (纸本)9798350359855

Recently, efficient image coding for machines method is widely required under machine vision task-oriented coding scenarios. To achieve higher task accuracy under a certain bitrate constraint, existing solutions take advantage of cutting-edge learned image compression methods and cascade the compression and specific task model straightly to carry out the joint optimization, which lacks adaptability and flexibility to handling machine vision saliency and non-saliency regions, thus obtaining inferior performance. In this paper, we propose a learned image compression model with a saliency-driven rate allocation strategy for machine vision. Specifically, an auxiliary network is introduced to provide reference latent first which contains full image reconstruction required information. And then, a machine vision saliency detector is applied to generate the adjustment factor to achieve rate allocation in the latent domain. In addition, a spatial dynamic convolution module is designed to facilitate the compressor adaptively processing the different spatial areas. Finally, the multi-distortion constraint is utilized to achieve an end-To-end optimization. Experimental results show that the proposed method achieves-77.48% coding gains over VVC using Mask R-CNN as the back-end task network on the Cityscapes dataset. Moreover, the reconstructed image maintains considerable visual fidelity, making it possible both for human and machine consumption. © 2023 ieee.

关键词： Computer vision

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Practical path planning and path following for a nonholonomic mobile robot based on visual servoing

Practical path planning and path following for a nonholonomi...

引用

ieee Information Technology, Networking, Electronic and Automation Control conference (ITNEC)

作者： Elsheikh, Emad A. El-Bardini, M. A. Fkirin, M. A. Menoufya Univ Dept Ind Elect & Control Engn Fac Elect Engn Menoufia 32952 Egypt

ISBN: (纸本)9781467391948

In this paper, a practical real-time path planning and robot navigation algorithm for a non-holonomic indoor mobile robot based on visual servoing is implemented. The proposed algorithm is divided into three parts;the first part uses Multi-Stencils Fast Marching (MSFM) as a path planning method. But the generated path results from fast marching methods when used directly, not guaranteed to be safe and smooth. Subsequently, the robot can touch corners, walls and obstacles. The proposed algorithm uses image processing methods to solve this problem. The second part estimates the position and orientation of the robot, from the visual information, to follow the desired path with avoiding obstacles. The third part proposes a decentralized PD-like Fuzzy Logic Controller (FLC) to keep up the robot on the desired path. Experimental results show that the developed design is valid to estimate shortest-path by avoiding obstacles and able to guide the robot to follow the path in real-time.

关键词： Real Time Object Tracking visual Servoing image processing Fuzzy Logic Controller Non-holonomic mobile robots Path planning

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A soft relevance method for content-based scene categorization in the BoW framework

A soft relevance method for content-based scene categorizati...

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8th International conference on Information, communications and Signal processing, ICICS 2011

作者： Li, Zhen Yap, Kim-Hui Zhu, Ce School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781457700309

A new soft relevance technique for scene categorization is proposed in this paper. A popular approach for scene categorization is the Bag-of-Words (BoW) framework, where a histogram is calculated for each image as the image signature. However, in most of the existing BoW based image classification methods, all the image signatures are regarded equally, so the outlier images may be harmful to the classification performance. In view of this, this work tries to address the issue by estimating the soft relevance value of the image signatures using image signature space modeling and then incorporate it in Fuzzy Support Vector Machine (FSVM). The effectiveness of the proposed method is validated on NTU Scene-25 dataset, and it is shown to outperform some state-of-the-art methods in BoW framework for scene categorization. © 2011 ieee.

关键词： image classification

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