2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)最新文献_第4页

Using Adaptive Trackers for Video Face Recognition from a Single Sample Per Person 使用自适应跟踪器对每个人的单个样本进行视频人脸识别

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608163

Francis Charette Migneault, Eric Granger, F. Mokhayeri

{"title":"Using Adaptive Trackers for Video Face Recognition from a Single Sample Per Person","authors":"Francis Charette Migneault, Eric Granger, F. Mokhayeri","doi":"10.1109/IPTA.2018.8608163","DOIUrl":"https://doi.org/10.1109/IPTA.2018.8608163","url":null,"abstract":"Still-to-video face recognition (FR) is an important function in many video surveillance applications, allowing to recognize target individuals of interest appearing over a distributed network of cameras. Systems for still-to-video FR match faces captured in videos under challenging conditions against facial models, often based on a single reference still per individual. To improve robustness to intra-class variations, an adaptive visual tracker is considered for learning of a diversified face trajectory model for each person appearing in the scene. These appearance models are updated along a trajectory, and matched against the reference gallery stills of each individual enrolled to the system. Matching scores per individual are thereby accumulated over successive frames for robust spatio-temporal recognition. In a specific implementation, face trajectory models learned with a STRUCK tracker are compared to reference stills using an ensemble of SVMs per individual that are trained a priori to discriminate target reference faces (in gallery stills) versus non-target faces (in videos from the operational domain). To represent common pose and illumination variations, domain-specific face synthesis is employed to augment the number of reference stills. Experimental results obtained with this implementation on the Chokepoint video dataset indicate that the proposed system can maintain a comparably high level of accuracy versus state-of-the-art systems, yet requires a lower complexity.","PeriodicalId":272294,"journal":{"name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134297720","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

FACE - Face At Classroom Environment: Dataset and Exploration 课堂环境中的面对面:数据集与探索

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608166

Oscar Karnalim, Setia Budi, Sulaeman Santoso, E. Handoyo, Hapnes Toba, Huyen Nguyen, Vishv M. Malhotra

引用次数: 8

On the use of contextual information for robust colour-based particle filter tracking 上下文信息在基于颜色的粒子滤波跟踪中的应用

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608147

Jingjing Xiao, M. Oussalah

{"title":"On the use of contextual information for robust colour-based particle filter tracking","authors":"Jingjing Xiao, M. Oussalah","doi":"10.1109/IPTA.2018.8608147","DOIUrl":"https://doi.org/10.1109/IPTA.2018.8608147","url":null,"abstract":"Color-based particle filters have emerged as an appealing method for targets tracking. As the target may undergo rapid and significant appearance changes, the template (i.e. scale of the target, color distribution histogram) also needs to be updated. Traditional updates without learning contextual information may imply a high risk of distorting the model and losing the target. In this paper, a new algorithm utilizing the environmental information to update both the scale of the tracker and the reference appearance model for the purpose of object tracking in video sequences has been put forward. The proposal makes use of the well-established color-based particle filter tracking while differentiating the foreground and background particles according to their matching score. A roaming phenomenon that yields the estimation to shrink and diverge is investigated. The proposed solution is tested using publicly available benchmark datasets where a comparison with six state-of-the-art trackers has been carried out. The results demonstrate the feasibility of the proposal and lie down foundations for further research of complex tracking problems.","PeriodicalId":272294,"journal":{"name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359265","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

Detection proposal method based on shallow feature constraints 基于浅特征约束的检测建议方法

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608148

Hao Chen, Hong Zheng, Ying Deng

引用次数: 0

MLANs: Image Aesthetic Assessment via Multi-Layer Aggregation Networks 基于多层聚合网络的图像审美评价

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608132

Xuantong Meng, Fei Gao, Shengjie Shi, Suguo Zhu, Jingjie Zhu

引用次数: 8

Extracting Painted Pottery Pattern Information Based on Deep Learning 基于深度学习的彩陶图案信息提取

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608139

Jinye Peng, Kai Yu, Jun Wang, Qunxi Zhang, Cheng Liu, L. Wang

引用次数: 0

[Title page] (标题页)

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/ipta.2018.8608137

引用次数: 0

DEVELOPING AND VALIDATING A PREDICTIVE MODEL OF MEASUREMENT UNCERTAINTY FOR MULTI-BEAM LIDARS: APPLICATION TO THE VELODYNE VLP-16 多波束激光雷达测量不确定度预测模型的建立与验证:在velodyne vlp-16上的应用

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608146

Q. Péntek, T. Allouis, O. Strauss, C. Fiorio

{"title":"DEVELOPING AND VALIDATING A PREDICTIVE MODEL OF MEASUREMENT UNCERTAINTY FOR MULTI-BEAM LIDARS: APPLICATION TO THE VELODYNE VLP-16","authors":"Q. Péntek, T. Allouis, O. Strauss, C. Fiorio","doi":"10.1109/IPTA.2018.8608146","DOIUrl":"https://doi.org/10.1109/IPTA.2018.8608146","url":null,"abstract":"A key feature for multi-sensor fusion is the ability to associate, to each measured value, an estimate of its uncertainty. We aim at developing a point-to-pixel association based on UAV-borne LiDAR point cloud and conventional camera data to build digital elevation models where each 3D point is associated to a color. In this paper, we propose a convenient uncertainty prediction model dedicated to multi-beam LiDAR systems with a new consideration on laser diode stack emitted footprints. We supplement this proposition by a novel reference-free evaluation method of this model. This evaluation method aims at validating the LiDAR uncertainty prediction model and estimating its resolving power. It is based on two criteria: one for consistency, the other for specificity. We apply this method to the multi-beam Velodyne VLP-16 LiDAR. The sensor’s prediction model validates the consistency criterion but, as expected, not the specificity criterion. It returns coherently pessimistic prediction with a resolving power upper bounded by 2 cm at a distance of 5 m.","PeriodicalId":272294,"journal":{"name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130222385","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: 8

An experimental investigation on self adaptive facial recognition algorithms using a long time span data set 基于长时间跨度数据集的自适应人脸识别算法的实验研究

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608134

G. Orrú, G. Marcialis, F. Roli

{"title":"An experimental investigation on self adaptive facial recognition algorithms using a long time span data set","authors":"G. Orrú, G. Marcialis, F. Roli","doi":"10.1109/IPTA.2018.8608134","DOIUrl":"https://doi.org/10.1109/IPTA.2018.8608134","url":null,"abstract":"Nowadays, facial authentication systems are present in many daily life devices. Their performance is influenced by the appearance of the facial trait that changes according to many factors such as lighting, pose, variations over time and obstructions. Adaptive systems follow these variations by updating themselves through images acquired during system operations. Although the literature proposes many possible approaches, their evaluation is often left to data set not explicitly conceived to simulate a real application scenario. The substantial absence of an appropriate and objective evaluation set is probably the motivation of the lack of implementation of adaptive systems in real devices. This paper presents a facial dataset acquired by videos in the YouTube platform. The collected images are particularly suitable for evaluating adaptive systems as they contain many changes during the time-sequence. A set of experiments of the most representative self adaptive approaches recently appeared in the literature is also performed and discussed. They allow to give some initial insights about pros and cons of facial adaptive authentication systems by considering a medium-long term time window of the investigated systems performance.","PeriodicalId":272294,"journal":{"name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123149541","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

Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models 基于优化深度生成模型的无监督人脸图像去遮挡

2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2018-11-01 DOI: 10.1109/IPTA.2018.8608127

Lei Xu, Honglei Zhang, Jenni Raitoharju, M. Gabbouj

{"title":"Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models","authors":"Lei Xu, Honglei Zhang, Jenni Raitoharju, M. Gabbouj","doi":"10.1109/IPTA.2018.8608127","DOIUrl":"https://doi.org/10.1109/IPTA.2018.8608127","url":null,"abstract":"In recent years, Generative Adversarial Networks (GANs) or various types of Auto-Encoders (AEs) have gained attention on facial image de-occlusion and/or in-painting tasks. In this paper, we propose a novel unsupervised technique to remove occlusion from facial images and complete the occluded parts simultaneously with optimized Deep Convolutional Generative Adversarial Networks (DCGANs) in an iterative way. Generally, GANs, as generative models, can estimate the distribution of images using a generator and a discriminator. DCGANs, as its variant, are proposed to conquer its instability during training. Existing facial image in-painting methods manually define a block of pixels as the missing part and the potential content of this block is semantically generated using generative models, such as GANs or AEs. In our method, a mask is inferred from an occluded facial image using a novel loss function, and then this mask is utilized to in-paint the occlusions automatically by pre-trained DCGANs. We evaluate the performance of our method on facial images with various occlusions, such as sunglasses and scarves. The experiments demonstrate that our method can effectively detect certain kinds of occlusions and complete the occluded parts in an unsupervised manner.","PeriodicalId":272294,"journal":{"name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"661 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127589149","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