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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Human activity recognition in ambient assisted living for Alzheimer's patient: A review of trends and challenges in Malaysia

Human activity recognition in ambient assisted living for Al...

引用

2016 international conference on Interfaces and Human computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and computer Graphics, Visualization, computer vision and image processing, CGVcvip 2016

作者： Basharudin, Nur Waheeda Azir, Ku Nurul Fazira Ku School of Computer and Communication Engineering Universiti Malaysia Perlis Perlis Malaysia

ISBN: (纸本)9789898533524

Human activity recognition is one of the method to model human behaviors and activity patterns. The works have becoming a significant research interest in recent years for various applications such as for assisted living and healthcare. This paper will reviews some of the related works based on stochastic methods or well known as probabilistic method to classify human activities which are focusing on kitchen activity. However, many challenging issues need to be reviewed in order to design and implement these technologies. The main purpose of this review is to extensively identify the existing method and characterize the literature in a manner that brings key challenges of future probabilistic method to meet the demand of cultures and social of Alzheimer's patient in Malaysia.

关键词： Assisted living

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Real-time image scanning framework using GPGPU – Face detection case study

Real-time image scanning framework using GPGPU – Face detec...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Fayez, Mahmoud Faheem, H.M. Katib, Iyad Aljohani, Naif Radi Faculty of Computer and Information Science Ain Shams University Egypt Fujitsu Japan Faculty of Computing and Information Technology King Abdulaziz University Saudi Arabia

ISBN: (纸本)1601324421

—The image scanning problem has been tackled several times from different research perspectives. Speeding up image scanning is a major factor in significantly reducing the time needed to perform face detection operations. In this paper, we introduce a novel framework that easily allows the user to define the scaling factor and the scanning window displacement. The proposed framework deploys the NVIDIA GPGPU in a very efficient way by sorting the working threads to achieve the highest memory throughput. A face detection case study using the Viola-Jones algorithm has been investigated. Results show an increase in frames processed per second, approaching 37 fps for HD images. © CSREA Press.

关键词： Face recognition

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computer vision Based Fruit Grading System for Quality Evaluation of Tomato in Agriculture industry 7

Computer Vision Based Fruit Grading System for Quality Evalu...

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7th international conference on Communication, Computing and Virtualization (ICCCV)

作者： Arakeria, Megha P. Lakshmana MS Ramaiah Inst Technol Bangalore Karnataka India Sambhram Inst Technol Bangalore Karnataka India

Agriculture sector plays a key role in the economic development of India. The task of fruit grading is vital in the agricultural industry because there is a great demand for high quality fruits in the market. However, fruit grading by human is inefficient, labor intensive and prone to error. The automated grading system not only speeds up the time of processing, but also minimizes error. There is a great demand for tomatoes in both local and foreign markets. The tomato fruit is very delicate and hence careful handling of this fruit is required during grading. Thus, this paper proposes an automatic and effective tomato fruit grading system based on computer vision techniques. The proposed quality evaluation method consists of two phases: development of hardware and software. The hardware is developed to capture the image of the tomato and move the fruit to the appropriate bins without manual intervention. The software is developed using image processing techniques to analyze the fruit for defects and ripeness. Experiments were carried out on several images of the tomato fruit. It was observed that the proposed method was successful with 96.47% accuracy in evaluating the quality of the tomato. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the Organizing Committee of ICCCV 2016

关键词： computer vision Tomato Defect Ripeness Agriculture

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Measurement of the Zone of Inhibition of an Antibiotic 6

Measurement of the Zone of Inhibition of an Antibiotic

引用

IEEE 6th international Advance Computing conference (IACC)

作者： Bhargav, H. S. Shastri, Sachin D. Poornav, S. P. Darshan, K. M. Nayak, Mahendra M. PES Inst Technol Dept Comp Sci & Engn Bangalore Karnataka India PES Inst Technol Dept Informat Sci & Engn Bangalore Karnataka India PES Inst Technol Dept Elect & Elect Engn Bangalore Karnataka India

ISBN: (纸本)9781467382861

In the Disk Diffusion Antibiotic Sensitivity test (The Kirby-Bauer test) a thin film of bacteria applied on a plate is subjected to various antibiotics. The Zone of inhibition is a circular area around the spot of the antibiotic in which the bacteria colonies do not grow. The zone of inhibition can be used to measure the susceptibility of the bacteria to wards the antibiotic. The process of measuring the diameter of this Zone of Inhibition can be automated using image processing. In this work an algorithm is developed, using computer vision, which will detect the zones of inhibition of the bacteria. This work demonstrates an effective approach of measuring the Zone of Inhibition by calculating the radius of the zone by drawing contours and setting the right value of threshold. This work also determines if a particular bacteria is susceptible or resistant to the applied antibiotic using the calculated Zone of Inhibition and the prescribed standard values.

关键词： Biomedical image processing computer vision

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License plate detection based on rectangular features and multilevel thresholding

License plate detection based on rectangular features and mu...

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Ullah, Ihsan Lee, Hyo Jong Division of Computer Science and Engineering Chonbuk National University Jeonju561-756 Korea Republic of Center for Advanced Image and Information TechnologyChonbuk National University Jeonju561-756 Korea Republic of

ISBN: (纸本)1601324421

Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge. One of these intelligent systems is license plate recognition (LPR) system. LPR plays an important role in intelligent transportation system;however, plate region extraction is the key step before the final recognition. In this paper, an effective license plate extraction algorithm is proposed based on geometrical features and multilevel thresholding to identify and segment the license plate from the image. Experimental results show that the technique achieved promising accuracy. © CSREA Press.

关键词： Object detection

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Creak: Color-based retina keypoint descriptor

Creak: Color-based retina keypoint descriptor

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Chen, Yi-An Chan, Chia-Hsin Tsai, Wen-Jiin Department of Computer Science National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)1601324421

Effectively feature matching between images is key to many computer vision applications. Recently, binary descriptors are attracting increasing attention for their low computational complexity and small memory requirement. However, most binary descriptors are based on intensity comparisons of grayscale images and did not consider color information. In this paper, a novel binary descriptor inspired by human retina is proposed, which considers not only gray values of pixels but also color information. Experimental results show that the proposed feature descriptor spends fewer storage spaces while having better precision level than other popular binary descriptors. Besides, the proposed feature descriptor has the fastest matching speed among all the descriptors under comparison, which makes it suitable for real-time applications. © CSREA Press.

关键词： Color

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Innate: Intelligent non-invasive nocturnal epilepsy assistive technology

Innate: Intelligent non-invasive nocturnal epilepsy assistiv...

引用

2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Malekmohamadi, Hossein Shell, Jethro Coupland, Simon School of Computer Science and Informatics De Montfort University Leicester United Kingdom

ISBN: (纸本)1601324421

Epilepsy is a neurological disease that affects the brain and is characterised by repeated seizures. Gener-alised, focal and unknown are three major types of seizures. Each type has several subgroups. For this reason, seizure detection and classification are expensive and erroneous. Other factors can also affect the detection. For example, patients can have a combination of different seizures or start with one type and finish with another. Nocturnal epilepsy can be prominent in many sufferers of this disease. This displays seizures that occur during the sleep cycle. The nature of such seizures makes the gathering of data and the subsequent detection and classification complex and costly. The current standard for seizure detection is the invasive use of electroencephalogram (EEG) monitoring. Both medical and research communities have expressed a large interest in the detection and classification of seizures automatically and non-invasively. This project proposes the use of 3D computer vision and pattern recognition techniques to detect seizures non-invasively. © CSREA Press.

关键词： Electroencephalography

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3D ROAD CURB EXTRACTION FROM image SEQUENCE FOR AUTOMOBILE PARKING ASSIST SYSTEM 23

3D ROAD CURB EXTRACTION FROM IMAGE SEQUENCE FOR AUTOMOBILE P...

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23rd IEEE international conference on image processing (ICIP)

作者： Prinet, Veronique Wang, JinSong Lee, JongHo Wettergreen, David Gen Motors R&D Detroit MI 48202 USA Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)9781467399616

We extract 3D curb from video sequence, using a single camera equipped with fish-eye lens and located at the front/rear of the vehicle. The challenge in extracting curbs from images lies in their small size and their lack of texture. We show that by appropriately exploiting appearance features, 3D geometry, and temporal information, one can reliably detect and localize the curbs in the 3D scene. The main underlying assumption of our model is that the road surface is flat and that the curb is approximately orthogonal to the road plane. We collected nine videos with ground truth, under day-time sunny weather condition, up to 2m range. Our experimental results compare favorably wrt the current the state-of-the-art on our database -90% precision rate in average and over 85% accuracy in curb height estimation.

关键词： Advanced Driving Assist Systems Video processing computer vision

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computer vision based Assistive Technology For Blind and Visually Impaired People 16

Computer Vision based Assistive Technology For Blind and Vis...

引用

7th international conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Sivan, Shankar Darsan, Gopu Sree Buddha Coll Engn Alappuzha Kerala India

ISBN: (纸本)9781450341790

The computer vision based assistive technology for the blind and visually impaired is a developing area. The assistive technology helps the visually impaired by providing them with a greater independence. By enabling them with their day-to-day activities like indoor and outdoor navigation, obstacle detection, locating the doors and lost objects, etc. Even though different assistive technologies are available for the blind, most of them have complex designs which are developed for a specific purpose and are expensive for the commercial production. Rather than depending on a traditional white cane, the blind and visually impaired people can make use of the cheaper assistive device proposed in this paper. The proposed system incorporates several assistance features in a device which will be an asset for them according to their needs.

关键词： Assistive technology computer vision image processing electronic travel aids wearable systems

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Accelerating a computer vision algorithm on a mobile SoC using CPU-GPU co-processing - A case study on face detection

Accelerating a computer vision algorithm on a mobile SoC usi...

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IEEE/ACM international conference on Mobile Software Engineering and Systems (MOBILESoft)

作者： Lee, Youngwan Jang, Cheolyong Kim, Hakil Inha Univ Dept Informat & Commun Engn Incheon South Korea

ISBN: (纸本)9781450341783

Recently, mobile devices have become equipped with sophisticated hardware components such as a heterogeneous multi-core SoC that consists of a CPU, GPU, and DSP. This provides opportunities to realize computationally-intensive computer vision applications using General Purpose GPU (GPGPU) programming tools such as Open Graphics Library for Embedded System (OpenGL ES) and Open Computing Language (OpenCL). As a case study, the aim of this research was to accelerate the Viola-Jones face detection algorithm which is computationally expensive and limited in use on mobile devices due to irregular memory access and imbalanced workloads resulting in low performance regarding the processing time. To solve the above challenges, the proposed method of this study adapted CPU GPU task parallelism, sliding window parallelism, scale image parallelism, dynamic allocation of threads, and local memory optimization to improve the computational time. The experimental results show that the proposed method achieved a 3.36.29 times increased computational time compared to the well-optimized OpenCV implementation on a CPU. The proposed method can be adapted to other applications using mobile GPUs and CPUs.

关键词： computer vision Mobile GPGPU OpenGL ES 2.0 OpenCL CPU-GPU co-processing

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