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检索条件"任意字段=International Conference on Signal Image Technology and Internet Based Systems"

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Proposal of an Awakening Behavior Detection System for Medical Use and Adaptation for Fluctuation of the Brightness Quantity with Infrared Camera Device Kinect

Proposal of an Awakening Behavior Detection System for Medic...

引用

9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Takeda, Fumiaki Kochi Univ Technol Kami Kochi 7828502 Japan

ISBN: (纸本)9781479932115

Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed the awakening behavior detection system using Neural Network. However, fluctuation of brightness quantity in the capturing environment sometimes makes decrease the detection capability. Therefore, to decrease the influence of the quantity, we newly introduce an infrared camera device Kinect to the proposed system in order to detect clear shape of the human's behavior despite of the fluctuation of the brightness. Finally, we show the effectiveness of the infrared camera image from Kinect on the detection capability by the experiments.

关键词： component Human's behavior Fluctuation of the brightness Detective capability Kinect Depth image

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Visual substitution system for blind people based on SIFT description

Visual substitution system for blind people based on SIFT de...

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international conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Hanen Jabnoun Faouzi Benzarti Hamid Amiri Signal Images and Information Technology (LR-SITI-ENIT) National Engineering School of Tunis (ENIT) Tunis Tunisia

The progress in fields science, information technology and communication have allowed, since the 1970s, developing new electronic aids for the blind in order to overcome the difficulties that the dog and cane do not respond. Among the systems of electronic substitution, are the sensory substitution systems that capture a low-resolution picture of the visual scene and transforming them into an another sensory modality (tactile or auditory). The recognition and localization of objects can address the need for mobility of the blind by travel assistance, aid to navigation and identify objects. In this paper, we propose a system of visual substitution that restores a central function of the visual system which is the identification of surrounding objects. Indeed, we are interested in evaluating fast and robust algorithms to recognize and locate objects in images. The perspectives of this work is to consider a substitute tool in the recognition of the environment for blind or visual impaired people, relying on a robust system for recognizing objects in a video scene and an auditory system to identify this information.

关键词： Feature extraction Visualization Object recognition Cameras Vectors image color analysis Histograms

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EEG signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

EEG Signal Processing and Classification for the Novel Tacti...

引用

9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Kono, Shota Aminaka, Daiki Makino, Shoji Rutkowski, Tomasz M. Univ Tsukuba Life Sci Ctr TARA Tsukuba Ibaraki Japan

ISBN: (纸本)9781479932115

The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a force-feedback joystick can serve as a platform for a brain-computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful online interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.

关键词： EEG tactile BCI brain signal processing brain somatosensory evoked response

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A FCM and SURF based algorithm for segmentation of multispectral face images

A FCM and SURF based algorithm for segmentation of multispec...

引用

9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Ben Said, Ahmed Foufou, Sebti Abidi, Mongi Qatar Univ Coll Engn CSE Dept POB 2713 Doha Qatar Univ Burgundy LE2i Lab Dijon France Univ Tennessee Dept Elect Engn IRIS Lab Knoxville TN 37996 USA

ISBN: (纸本)9781479932115

In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from IRIS Lab data base, which consists of face images taken along the visible spectrum, have been used to illustrate the performances of the proposed algorithm and to compare its outputs with other algorithms. Results demonstrate that the proposed method outperforms other clustering methods in segmenting color images as well as multispectral images.

关键词： segmentation clustering multispectral image SURF

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Exploiting Domain Constraints for Exemplar based Bus Detection for Traffic Scheduling

Exploiting Domain Constraints for Exemplar Based Bus Detecti...

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17th international IEEE conference on Intelligent Transportation systems & The Asia-Pacific Council on systems Engineering conference 2014

作者： Aravindh Mahendran Martial Hebert Stephen Smith Robotics Institute School of Computer ScienceCarnegie Mellon University

We describe a computer vision application to adaptive traffic signal *** traffic signal control systems allocate green time at an intersection dynamically in response to sensed incoming traffic flows to continually optimize overall *** video-based systems are limited to the use of vehicle presence and volume(count) data,and since it is not possible to distinguish between different types of vehicles,optimization opportunities can be *** propose to detect specific types of vehicles,such as buses,so that they can be assigned higher priority when appropriate and the overall effectiveness of the adaptive signal system can be *** base our system design on current visual recognition technology(HOG SVM) and exploit configuration constraints specific to this application,such as knowledge about the anticipated scale of the *** challenge is to be robust to varying illumination and weather conditions,occlusions from other vehicles,and large variations in scale while producing recognition results in *** show results on challenging data from traffic cameras under different observation conditions and at varying ranges.

关键词： image red Exploiting Domain Constraints for Exemplar based Bus Detection for Traffic Scheduling

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image Reconstruction from Local Binary Patterns

Image Reconstruction from Local Binary Patterns

引用

9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Waller, B. M. Nixon, M. S. Carter, J. N. Univ Southampton Sch Elect & Comp Sci Southampton Hants England

ISBN: (纸本)9781479932115

Reconstruction of an image from its LBP codes can aid understanding of the information contained within the codes by comparing the reconstructed image to the original. We are the first to show that the LBP process can be inverted and present a novel algorithm to perform the reconstruction, resulting in an approximation of the original image that is both visually appealing and completely matches the LBP codes of the original. The algorithm calculates the minimum contrast between two pixels;reconstructing some of the contrast information thought lost in the LBP process. Tests on the algorithm have been conducted on images from the Brodatz database and Berkeley Segmentation Dataset which show an image visually similar to the original with perfect texture reconstruction. The reconstructed images also remove the effects of illumination from the images, suggesting future investigation into the possibility of image brightness normalisation. Additionally, since the reconstructed image provides the same LBP codes as the original, the susceptibility to spoofing of systems using LBP feature vectors has been identified.

关键词： lbp reconstruction texture contrast

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Quality of interaction experience in stereoscopic 3D TV

Quality of interaction experience in stereoscopic 3D TV

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IEEE international conference on image Processing

作者： Haiyue Yuan Janko Ćalić Ahmet Kondoz Centre for Vision Speech and Signal Processing University of Surrey UK Institute for Digital Technologies Loughborough University in London (LUiL) UK

Quality of Experience has recently become a paramount research topic in multimedia systems, especially in the emerging areas of high-definition and 3D video content. There has been a significant amount of research focusing on 3D content production, compression and delivery. However very little research has been dedicated to the emerging challenges in assessing user experience when interacting with the 3D video content. Interaction tasks such as pointing and selection are critical to the consumer's experience of the 3D video technology. This paper studies the impact of pointing modalities on the quality of interaction experience with stereoscopic 3D television. The conducted user study compares and evaluates three pointing modalities: standard mouse-based interaction, virtual laser pointer and hand gesture modality, using the ISO 9241-9 standard for multi-directional tapping task. The results suggest that the virtual laser pointer modality can provide better quality of interaction experience than other modalities in terms of user performance and user satisfaction.

关键词： Three-dimensional displays Quality of service Mice Standards Fatigue Stereo image processing TV

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Proportional image Enlargement using Combinations of Scaling and Carving Method

Proportional Image Enlargement using Combinations of Scaling...

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9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Somawirata, I. Komang Uchimura, Keiichi Koutaki, Gou Kumamoto Univ Grad Sch Sci & Technol Kumamoto 8608555 Japan

ISBN: (纸本)9781479932115

This paper proposes the proportional image enlargement using hybrid methods. Hybrid method is combinations of scaling and carving methods. This method consists of two steps. The first step enlarges the source image to the same size with minimum size for height or width from the target image. In this step, we use a kernel scaling method which is resulted in proportional content image size. The second step is the full size image enlargement in the width direction. The important content in the image is maintained. The image energy is used to detect the significant part in the image. We slice the image by following the minimum energy from top to bottom. The interpolation pixel is implemented among slices of the image. We use rank-ordered mean filters to reduce jagged image, especially in the interpolation pixels. The experiments show the proportional image enlargement, and the aspect ratio of an image is changed.

关键词： scaling image enlargement window kernel carving

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Using C to implement high-efficient computation of dense optical flow on FPGA-accelerated heterogeneous platforms

Using C to implement high-efficient computation of dense opt...

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IEEE international conference on Field-Programmable technology (FPT)

作者： Zhilei Chai Haojie Zhou Zhibin Wang Dong Wu School of Internet of Things Engineering Jiangnan University Wuxi China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781479962464

High-quality algorithms for dense optical flow computation are computationally intensive. To compute them with high speed and low power is vital to make optical flow computation applicable in real-world applications. In contrast to only the Horn-Schunck model being studied on FPGA-based systems today, one of the best linear variational methods for dense optical flow computation, Combine-Brightness-Gradient, is implemented on FPGA-accelerated heterogeneous platforms in this paper. C instead of HDLs is employed and optimizing techniques based on the algorithmic parallelism and hardware architecture are introduced. Experimental results show that 30-110x improvement of the computing efficiency over CPUs was achieved. The FPGA-accelerated version is able to process 640 × 480 image at 12 fps with 0.38 J per frame, while it is 0.8 fps and around 40 J on CPUs. Through demonstrating high performance and low power of dense optical flow algorithm on FPGA-based heterogeneous platforms implemented in C, this paper shows that the off-the-shelf commodity FPGAs coupled with High-Level-Synthesis (HLS) tools could provide an available option when computational efficiency together with development speed are required.

关键词： Optical imaging Optical computing Nonlinear optics Field programmable gate arrays Parallel processing Computer vision Computational modeling

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Bone-conduction-based Brain Computer Interface Paradigm - EEG signal Processing, Feature Extraction and Classification

Bone-conduction-based Brain Computer Interface Paradigm - EE...

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9th international conference on signal-image technology and internet-based systems (SITIS)

作者： Aminaka, Daiki Mori, Koichi Matsui, Toshie Makino, Shoji Rutkowski, Tomasz M. Univ Tsukuba Life Sci Ctr TARA Tsukuba Ibaraki Japan Res Inst Natl Rehabil Ctr Persons Disabilities Tokorozawa Saitama Japan RIKEN Brain Sci Inst Woko Shi Japan

ISBN: (纸本)9781479932115

The paper presents a novel bone-conduction based brain-computer interface paradigm. Four subthreshold acoustic frequency stimulus patterns are presented to the subjects in an oddball paradigm allowing for "aharesponses" generation to the attended targets. This allows for successful implementation of the bone-conduction based brain-computer interface (BCI) paradigm. The concept is confirmed with seven subjects in online bone-conducted auditory Morse-code patterns spelling BCI paradigm. We report also brain electrophysiological signal processing and classification steps taken to achieve the successful BCI paradigm. We also present a finding of the response latency variability in a function of stimulus difficulty.

关键词： Auditory BCI P300 EEG brain signal processing

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