2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第9页

Development of Control System for Opening and Closing Electrical Equipment with Thai Voice Command Using by K-Nearest Neighbor Technical 基于k近邻技术的泰文语音开关控制系统的开发

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00094

Worawut Yimyam, Thidarat Pinthong, M. Ketcham

引用次数: 9

Eye-Movement and Touch Dynamics: A Proposed Approach for Activity Recognition of a Web User 眼动和触觉动力学:一种网络用户活动识别的建议方法

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00117

Andrea Casanova, Lucia Cascone, Aniello Castiglione, M. Nappi, Chiara Pero

引用次数: 5

An Adaptive Background Modelling Method Based on Modified Running Averages 一种基于修正运行平均值的自适应背景建模方法

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00019

Nahlah Algethami, S. Redfern

{"title":"An Adaptive Background Modelling Method Based on Modified Running Averages","authors":"Nahlah Algethami, S. Redfern","doi":"10.1109/SITIS.2019.00019","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00019","url":null,"abstract":"Background modelling plays an important role in detecting foreground objects for video analysis. Many background subtraction methods have been proposed in the past two decades, such as Gaussian Mixture Models (GMM) and Running Averages. Since these per-pixel approaches update the background at the pixel level, they are prone to false foreground and background classifications which may results in foreground detection problems. For example, a slow moving object or one with intermittent motion may be erroneously incorporated into the background model. Also, these models typically assume a clean background image at initialization, which is difficult to achieve in real world scenario, leading to the 'bootstrapping' challenge. These issues can be addressed by using high level object tracking information as an analysis operation, and feeding back into a per-pixel model. This paper describes a method to model backgrounds using higher level knowledge of object movements derived from a robust tracker. Experimental results reveal that our method works well and outperforms state of the art background subtraction methods such as GMM and running averages in a scene with bootstrapping and intermittent object motion background modelling challenges.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126501697","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: 0

MUBIDUS-I: A multibiometric and multipurpose dataset MUBIDUS-I:一个多生物特征和多用途数据集

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00124

Luigi De Maio, Riccardo Distasi, M. Nappi

引用次数: 3

Recognizing the Illegal Parking Patterns of Cars on the Road in Front of the Bus Stop Using the Support Vector Machine 基于支持向量机的公交站前道路车辆违规停车模式识别

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00091

M. Ketcham, Thittaporn Ganokratanaa, Eakbodin Gedkhaw, Manussawee Piyaneeranart, Worawut Yimyam

引用次数: 9

Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition 利用三维形状和漫反射分解检测手指静脉呈现攻击

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00014

Jag Mohan Singh, S. Venkatesh, K. Raja, Raghavendra Ramachandra, C. Busch

{"title":"Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition","authors":"Jag Mohan Singh, S. Venkatesh, K. Raja, Raghavendra Ramachandra, C. Busch","doi":"10.1109/SITIS.2019.00014","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00014","url":null,"abstract":"Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust approach for detecting presentation attacks on finger-vein biometric systems exploiting the 3D Shape (normal-map) and material properties (diffuse-map) of the finger. Observing the normal-map and diffuse-map exhibiting enhanced textural differences in comparison with the original finger-vein image, especially in the presence of varying illumination intensity, we propose to employ textural feature-descriptors on both of them independently. The features are subsequently used to compute a separating hyper-plane using Support Vector Machine (SVM) classifiers for the features computed from normal-maps and diffuse-maps independently. Given the scores from each classifier for normal-map and diffuse-map, we propose sum-rule based score level fusion to make detection of such presentation attack more robust. To this end, we construct a new database of finger-vein images acquired using a custom capture device with three inbuilt illuminations and validate the applicability of the proposed approach. The newly collected database consists of 936 images, which corresponds to 468 bona fide images and 468 artefact images. We establish the superiority of the proposed approach by benchmarking it with classical textural feature-descriptor applied directly on finger-vein images. The proposed approach outperforms the classical approaches by providing the Attack Presentation Classification Error Rate (APCER) & Bona fide Presentation Classification Error Rate (BPCER) of 0% compared to comparable traditional methods.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121747482","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: 4

Unsupervised Novelty Detection in Video with Adversarial Autoencoder Based on Non-Euclidean Space 基于非欧几里德空间的对抗自编码器视频无监督新颖性检测

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00016

Jin-Young Kim, Sung-Bae Cho

{"title":"Unsupervised Novelty Detection in Video with Adversarial Autoencoder Based on Non-Euclidean Space","authors":"Jin-Young Kim, Sung-Bae Cho","doi":"10.1109/SITIS.2019.00016","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00016","url":null,"abstract":"Novelty is the quality of being different, new and unusual. Identifying it is an important issue in various fields such as anomaly detection in video. To detect the novelty, there are supervised learning methods that define and classify inliers and outliers, and unsupervised learning methods that define the distribution of inliers and identify whether objects are normal or abnormal. The former has limitations that the labeled data is required and the novelty which cannot be defined is not detected. To cope with the problems, the latter has recently been explored, but it is difficult to define an appropriate distribution for normal data and learn in an end-to-end manner due to unavailability of outliers. In this paper, we propose a novel one-class novelty detection method with constant curvature adversarial autoencoder. It consists of three components: an encoder, a decoder, and a discriminator. The encoder and discriminator interact with each other in adversarial and learn the distribution of normal data only. The decoder reconstructs the data to verify that the feature of the data is well extracted to the latent variable that is the output of the encoder. We also train the model to define a distribution for normal data as a constant curvature manifold, a non-Euclidean space, for the diversity of data distribution. The proposed method is verified with the well-known benchmark datasets: MNIST, CALTECH-256, and UCSD Pedestrian 1. For the area under curve as a measure of the performance, the proposed method shows the state-of-the-art performance with 0.87, 0.94, and 0.89 on average for the datasets, respectively.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274636","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: 3

Data Assimilation for Parameter Estimation in Economic Modelling 经济建模中参数估计的数据同化

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00106

Philip Nadler, Rossella Arcucci, Yi-Ke Guo

引用次数: 8

A Context-Aware Chatbot for Tourist Destinations 旅游目的地的上下文感知聊天机器人

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00063

Fabio Clarizia, F. Colace, M. D. Santo, Marco Lombardi, F. Pascale, D. Santaniello

引用次数: 18

Analyzing Stress Situations for Blind People 分析盲人的压力情况

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00079

Youssef Keryakos, Youssef Bou Issa, A. Makhoul, M. Salomon

引用次数: 2