2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)最新文献_第10页

GPU Accelerated Face Recognition System with Enhanced Local Ternary Patterns Using OpenCL 基于OpenCL的局部三元模式GPU加速人脸识别系统

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371263

Vinith, Akhila M K, Narmada Naik, R. G N

{"title":"GPU Accelerated Face Recognition System with Enhanced Local Ternary Patterns Using OpenCL","authors":"Vinith, Akhila M K, Narmada Naik, R. G N","doi":"10.1109/DICTA.2015.7371263","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371263","url":null,"abstract":"Enhanced Local Ternary Patterns (ELTP) significantly improves performance over other feature descriptor methods including Local Binary Patterns (LBP) and Local Ternary Patterns (LTP).Sequential implementation of ELTP results in poor performance in terms of execution time for real time systems.Speed and accuracy are important characteristics of a real time face recognition system. With the aim of fulfilling both these criteria, this paper presents an implementation of GPU Accelerated Face Recognition System with ELTP using OpenCL framework. As a result of our Optimization techniques, we have achieved highest kernel execution speedup of 374x for ELTP image and histogram generation with 4096x4096 (16MP) image resolution when it is implemented on GPU. Face recognition with ELTP showed higher recognition rates on ORL database. We also implemented LBP and LTP algorithms on GPU and compared their performances with ELTP. Similar Optimization techniques were applied for LBP kernel executions, which resulted in much higher speedups when compared to their previous implementations. Experimental results demonstrated that Parallel implementation with ELTP on GPU (AMD Radeon HD 7650M) outperforms CPU based face recognition system using LBP in terms of speed and accuracy.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An Evaluation of Background Subtraction Algorithms on Fused Infrared-Visible Video Streams 融合红外-可见视频流的背景减法算法评价

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371229

S. Becker, N. Scherer-Negenborn, Pooja Thakkar, W. Hübner, Michael Arens

引用次数: 4

Multi-Factor Authentication on Cloud 云上的多因素身份验证

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371288

S. H. Khan, M. Akbar

{"title":"Multi-Factor Authentication on Cloud","authors":"S. H. Khan, M. Akbar","doi":"10.1109/DICTA.2015.7371288","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371288","url":null,"abstract":"Due to the recent security infringement incidents of single factor authentication services, there is an inclination towards the use of multi-factor authentication (MFA) mechanisms. These MFA mechanisms should be available to use on modern hand-held computing devices like smart phones due to their big share in computational devices market. Moreover, the high social acceptability and ubiquitous nature has attracted the enterprises to offer their services on modern day hand-held devices. In this regard, the big challenge for these enterprises is to ensure security and privacy of users. To address this issue, we have implemented a verification system that combines human inherence factor (handwritten signature biometrics) with the standard knowledge factor (user specific passwords) to achieve a high level of security. The major computational load of the aforementioned task is shifted on a cloud based application server so that a platform-independent user verification service with ubiquitous access becomes possible. Custom applications are built for both the iOS and Android based devices which are linked with the cloud based two factor authentication (TFA) server. The system is tested on-the-run by a diverse group of users and 98.4% signature verification accuracy is achieved.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125516116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Random NL-Means to Restoration of Colour Images 彩色图像恢复的随机nl方法

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371298

D. Borkowski, K. Janczak-Borkowska

引用次数: 0

Automatic Image Segmentation Based on Maximal Similarity Based Region Merging 基于最大相似度区域合并的自动图像分割

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371236

Erum Fida, Junaid Baber, Maheen Bakhtyar, Muhammad Javid Iqbal

引用次数: 3

Learning Temporal Alignment Uncertainty for Efficient Event Detection 学习时间对齐不确定性的有效事件检测

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-09-04 DOI: 10.1109/DICTA.2015.7371278

Iman Abbasnejad, S. Sridharan, S. Denman, C. Fookes, S. Lucey

引用次数: 4

Improving Near-Miss Event Detection Rate at Railway Level Crossings 提高铁路平交道口近靶事件检出率

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-08-31 DOI: 10.1109/DICTA.2015.7371273

Sina Aminmansour, F. Maire, Grégoire S. Larue, C. Wullems

{"title":"Improving Near-Miss Event Detection Rate at Railway Level Crossings","authors":"Sina Aminmansour, F. Maire, Grégoire S. Larue, C. Wullems","doi":"10.1109/DICTA.2015.7371273","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371273","url":null,"abstract":"Even though crashes between trains and road users are rare events at railway level crossings, they are one of the major safety concerns for the Australian railway industry. Nearmiss events at level crossings occur more frequently, and can provide more information about factors leading to level crossing incidents. In this paper we introduce a video analytic approach for automatically detecting and localizing vehicles from cameras mounted on trains for detecting near- miss events. To detect and localize vehicles at level crossings we extract patches from an image and classify each patch for detecting vehicles. We developed a region proposals algorithm for generating patches, and we use a Convolutional Neural Network (CNN) for classifying each patch. To localize vehicles in images we combine the patches that are classified as vehicles according to their CNN scores and positions. We compared our system with the Deformable Part Models (DPM) and Regions with CNN features (R-CNN) object detectors. Experimental results on a railway dataset show that the recall rate of of our proposed system is 29% higher than what can be achieved with DPM or R-CNN detectors.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"22 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Improved IIR Low-Pass Smoothers and Differentiators with Tunable Delay 具有可调延迟的改进IIR低通平滑器和微分器

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-01-17 DOI: 10.1109/DICTA.2015.7371271

H. L. Kennedy

引用次数: 7

Bags of Affine Subspaces for Robust Object Tracking 鲁棒目标跟踪的仿射子空间袋

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2014-08-10 DOI: 10.1109/DICTA.2015.7371239

S. Shirazi, Conrad Sanderson, C. McCool, M. Harandi

引用次数: 8

Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE 基于自适应Clip Limit-CLAHE的局部密集背景下乳腺肿块分割

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 1900-01-01 DOI: 10.1109/DICTA.2015.7371305

Shelda Sajeev, M. Bajger, Gobert N. Lee

引用次数: 11