2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)最新文献_第7页

Sub-Millimeter Crack Detection in Casted Steel Using Color Photometric Stereo 基于色度立体的铸钢亚毫米裂纹检测

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691532

A. Landström, M. Thurley, Håkan Jonsson

引用次数: 15

Automatic Segmentation of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields 基于马尔可夫随机场鲁棒混合模型的分子病理图像自动分割

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691487

S. Ng, A. Lam

引用次数: 0

An Evaluation of Different Features and Learning Models for Anomalous Event Detection 异常事件检测的不同特征和学习模型的评价

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691480

Hajananth Nallaivarothayan, D. Ryan, S. Denman, S. Sridharan, C. Fookes

{"title":"An Evaluation of Different Features and Learning Models for Anomalous Event Detection","authors":"Hajananth Nallaivarothayan, D. Ryan, S. Denman, S. Sridharan, C. Fookes","doi":"10.1109/DICTA.2013.6691480","DOIUrl":"https://doi.org/10.1109/DICTA.2013.6691480","url":null,"abstract":"The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned 'normal' model. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.","PeriodicalId":231632,"journal":{"name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128055384","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: 16

Context Curves for Classification of Lung Nodule Images 肺结节图像分类的背景曲线

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691494

Fan Zhang, Yang Song, Weidong (Tom) Cai, Yun Zhou, S. Shan, D. Feng

引用次数: 31

Image Matting for Sparse User Input by Iterative Refinement 基于迭代细化的稀疏用户输入图像抠图

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691499

Stephen Tierney, Geoff Bull, Junbin Gao

引用次数: 2

Object Cut as Minimum Ratio Cycle in a Superpixel Boundary Graph 在超像素边界图中作为最小比率循环的对象切割

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691506

Gao Zhu, Y. Ming, Hongdong Li

引用次数: 1

Robust ASL Fingerspelling Recognition Using Local Binary Patterns and Geometric Features 基于局部二值模式和几何特征的鲁棒ASL手指拼写识别

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691521

C. Weerasekera, M. Jaward, N. Kamrani

{"title":"Robust ASL Fingerspelling Recognition Using Local Binary Patterns and Geometric Features","authors":"C. Weerasekera, M. Jaward, N. Kamrani","doi":"10.1109/DICTA.2013.6691521","DOIUrl":"https://doi.org/10.1109/DICTA.2013.6691521","url":null,"abstract":"Sign language recognition using computer vision techniques enables machines to function as interpreters of sign language while eliminating the need for cumbersome data gloves. In this paper, a robust approach for recognition of bare-handed static sign language is presented, using a novel combination of features. These include Local Binary Patterns (LBP) histogram features based on color and depth information, and also geometric features of the hand. Linear binary Support Vector Machine (SVM) classifiers are used for recognition, coupled with template matching in the case of multiple matches. An accurate hand segmentation scheme using the Kinect depth sensor is also presented. The resulting sign language recognition system could be employed in many practical scenarios and works in complex environments in real-time. It is also shown to be robust to changes in distance between the user and camera and can handle possible variations in fingerspelling among different users. The algorithm is tested on two ASL fingerspelling datasets where overall classification rates over 90% are observed.","PeriodicalId":231632,"journal":{"name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216540","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: 22

Robust Video Based Iris Segmentation System in Less Constrained Environments 无约束环境下基于视频的鲁棒虹膜分割系统

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2013-11-01 DOI: 10.1109/DICTA.2013.6691524

Nitin K. Mahadeo, A. Paplinski, S. Ray

{"title":"Robust Video Based Iris Segmentation System in Less Constrained Environments","authors":"Nitin K. Mahadeo, A. Paplinski, S. Ray","doi":"10.1109/DICTA.2013.6691524","DOIUrl":"https://doi.org/10.1109/DICTA.2013.6691524","url":null,"abstract":"One of the key challenges in traditional iris recognition systems is that they require substantial user cooperation. Several restrictions are imposed on positioning and motion of the subject during the image acquisition process so that an image of high quality can be captured. On the other hand, videos captured at a distance and on the move are less intrusive and more appealing to users. However, this extra convenience comes at a cost. Such videos suffer from significant degradation and are often of poor quality compared to images captured in controlled environments. In this work, we present a video based iris segmentation system for processing of images taken in less constrained environments. In the first part, frame alignment of face videos is performed for reliable and efficient extraction of the eye regions in Near Infrared (NIR) videos. In the second section, we propose a new iris segmentation method aimed particularly at eye images captured in challenging environments. Reflections and out of frame iris regions are in-painted. A region based segmentation method is proposed for accurate eyelid detection in images with variable illumination and significant blur. Eyelashes are divided into two categories and eliminated. Experiments carried out on the Multiple Biometric Grand Challenge (MBGC) dataset demonstrate that the proposed system achieves higher accuracy than other recent state of the art video based iris segmentation techniques developed for less constrained environments.","PeriodicalId":231632,"journal":{"name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133879316","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

Spatial False Discovery Rate Control for Magnetic Resonance Imaging Studies 磁共振成像研究的空间错误发现率控制

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 1900-01-01 DOI: 10.1109/DICTA.2013.6691531

H. Nguyen, A. Janke, N. Cherbuin, G. McLachlan, P. Sachdev, K. Anstey

{"title":"Spatial False Discovery Rate Control for Magnetic Resonance Imaging Studies","authors":"H. Nguyen, A. Janke, N. Cherbuin, G. McLachlan, P. Sachdev, K. Anstey","doi":"10.1109/DICTA.2013.6691531","DOIUrl":"https://doi.org/10.1109/DICTA.2013.6691531","url":null,"abstract":"Magnetic resonance imaging (MRI) is widely used to study the population effects of covariates on brain morphometry. Inferences from these studies often require the simultaneous testing of millions of statistical hypotheses. Such scale of simultaneous testing is known to lead to large numbers of false positive results. False discovery rate (FDR) controlling procedures are commonly employed to mitigate against false positives. However, current methodologies in FDR control only account for the marginal significance of hypotheses and are not able to take into account spatial relationships, such as in MRI studies. In this article, we present a novel method for incorporating spatial dependencies in the control of FDR through the use of Markov random fields. Our method is able to automatically estimate the relationship between spatially dependent hypotheses by means of pseudo-likelihood techniques. We show that the our spatial FDR control method is able to outperform marginal methods in simulations of spatially dependent hypotheses. Our method is then applied to investigate the effect of aging on brain morphometry using data from the PATH study. The results of our investigation were found to be in correspondence with the brain aging literature.","PeriodicalId":231632,"journal":{"name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115177370","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: 1

Region-Based Anomaly Localisation in Crowded Scenes via Trajectory Analysis and Path Prediction 基于轨迹分析和路径预测的拥挤场景区域异常定位

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 1900-01-01 DOI: 10.1109/DICTA.2013.6691519

Teng Zhang, A. Wiliem, B. Lovell

引用次数: 5