Proceedings of the 13th International Conference on Distributed Smart Cameras最新文献_第3页

A Battery Powered Vision Sensor for Forensic Evidence Gathering 一种用于法医证据收集的电池供电视觉传感器

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349816

Yu Zou, M. Lecca, M. Gottardi, G. Urlini, N. Vretos, L. Gymnopoulos, P. Daras

引用次数: 0

Unsupervised continuous camera network pose estimation through human mesh recovery 基于人网格恢复的无监督连续摄像机网络姿态估计

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349803

Nicola Garau, N. Conci

引用次数: 3

Displacement Error Analysis of 6-DoF Virtual Reality 六自由度虚拟现实的位移误差分析

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349812

Ridvan Aksu, Jacob Chakareski, V. Velisavljevic

{"title":"Displacement Error Analysis of 6-DoF Virtual Reality","authors":"Ridvan Aksu, Jacob Chakareski, V. Velisavljevic","doi":"10.1145/3349801.3349812","DOIUrl":"https://doi.org/10.1145/3349801.3349812","url":null,"abstract":"Virtual view synthesis is a critical step in enabling Six-Degrees of Freedom (DoF) immersion experiences in Virtual Reality (VR). It comprises synthesis of virtual viewpoints for a user navigating the immersion environment, based on a small subset of captured viewpoints featuring texture and depth maps. We investigate the extreme values of the displacement error in view synthesis caused by depth map quantization, for a given 6DoF VR video dataset, particularly based on the camera settings, scene properties, and the depth map quantization error. We establish a linear relationship between the displacement error and the quantization error, scaled by the sine of the angle between the location of the object and the virtual view in the 3D scene, formed at the reference camera location. In the majority of cases the horizontal and vertical displacement errors induced at a pixel location of a reconstructed 360° viewpoint comprising the immersion environment are respectively proportional to 3/5 and 1/5 of the respective quantization error. Also, the distance between the reference view and the synthesized view severely increases the displacement error. Following these observations: displacement error values can be predicted for given pixel coordinates and quantization error, and this can serve as a first step towards modeling the relationship between the encoding rate of reference views and the quality of synthesized views.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"94 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847094","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

Design Exploration of Multi-Camera Dome 多摄像头穹顶的设计探索

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349808

Hiba H. Alqaysi, N. Lawal, I. Fedorov, Benny Thörnberg, M. O’nils

{"title":"Design Exploration of Multi-Camera Dome","authors":"Hiba H. Alqaysi, N. Lawal, I. Fedorov, Benny Thörnberg, M. O’nils","doi":"10.1145/3349801.3349808","DOIUrl":"https://doi.org/10.1145/3349801.3349808","url":null,"abstract":"Visual monitoring systems employ distributed smart cameras to effectively cover a given area satisfying specific objectives. The choice of camera sensors and lenses and their deployment affects design cost, accuracy of the monitoring system and the ability to position objects within the monitored area. Design cost can be reduced by investigating deployment topology such as grouping cameras together to form a dome at a node and optimize it for monitoring constraints. The constraints may include coverage area, number of cameras that can be integrated in a node and pixel resolution at a given distance. This paper presents a method for optimizing the design cost of multicamera dome by analyzing tradeoffs between monitoring constraints. The proposed method can be used to reduce monitoring cost while fulfilling design objectives. Results show how to increase coverage area for a given cost by relaxing requirements on design constraints. Multi-camera domes can be used in sky monitoring applications such as monitoring wind parks and remote air-traffic control of airports where all-round field of view about a point is required to be monitored.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126654928","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: 2

Face Liveness Detection Benchmark based on Stereo Matching 基于立体匹配的人脸活力检测基准

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349811

Mi Shi, Jiaming Sun, Zhenhuan Huang, Hainan Wang, Chunlei Liu, Baochang Zhang

引用次数: 0

Accurate Single-Stream Action Detection in Real-Time 实时准确的单流动作检测

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349821

Yu Liu, Fan Yang, D. Ginhac

{"title":"Accurate Single-Stream Action Detection in Real-Time","authors":"Yu Liu, Fan Yang, D. Ginhac","doi":"10.1145/3349801.3349821","DOIUrl":"https://doi.org/10.1145/3349801.3349821","url":null,"abstract":"Analyzing videos of human actions involves understanding the spatial and temporal context of the scenes. State-of-the-art action detection approaches have demonstrated impressive results using Convolutional Neural Networks (CNNs) within a two-stream framework. However, most of them operate in a non-real-time, offline fashion, thus are not well-equipped in many emerging real-world scenarios such as autonomous driving and public surveillance. In addition, they are computationally demanding to be deployed on devices with limited power resources (e.g., embedded systems). To address the above challenges, we propose an efficient single-stream action detection framework by exploiting temporal coherence between successive video frames. This allows CNN appearance features to be cheaply propagated by motions rather than being extracted from every frame. Furthermore, we utilize an implicit motion representation to amplify appearance features. Our method based on motion-guided and motion-aware appearance features is evaluated on the UCF-101-24 dataset. Experiments indicate that the proposed method can achieve real-time action detection up to 32 fps with a comparable accuracy as the two-stream approach.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116989291","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

Automatic Generation of Waypoint Graphs from Distributed Ceiling-Mounted Smart Cameras for Decentralized Multi-Robot Indoor Navigation 分布式顶置智能摄像头的路点图自动生成用于分散多机器人室内导航

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349814

Andrew Felder, Dillon Van Buskirk, C. Bobda

引用次数: 2

Towards an FPGA-Based Smart Camera for Virtual Reality Applications 一种基于fpga的虚拟现实智能相机

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3357133

Antonio Pérez Cruz, Abiel Aguilar-González, Madaín Pérez Patricio

{"title":"Towards an FPGA-Based Smart Camera for Virtual Reality Applications","authors":"Antonio Pérez Cruz, Abiel Aguilar-González, Madaín Pérez Patricio","doi":"10.1145/3349801.3357133","DOIUrl":"https://doi.org/10.1145/3349801.3357133","url":null,"abstract":"Virtual reality (VR) is an experience taking place within simulated and immersive environments. Although in recent years several virtual reality applications such as, virtual reality gaming, medical educational and military training applications have been developed; one important limitation still remains for the tracking sensor. Commercial headsets such as the Oculus Rift or HTC Vive have tracking sensors which project active signals to the user's body and limits the motion understanding. To address this problem, we propose a novel passive sensor (which consist of an FPGA-based smart camera) which computes the optical flow an estimates semantic information about the user movement inside the camera fabric. Then, using these semantic information as feedback for the virtual reality engine; accurate tracking without active signals being projected to the user's body and with the capability to implement several cameras in order to achieve a better movement understanding is possible. Preliminary results are encourageous, demonstrating the possibility of a visual-based tracking approach suitable for virtual reality applications.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936134","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

An Exploration of the Interaction Between capsules with ResNetCaps models 用ResNetCaps模型探索胶囊之间的相互作用

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349804

Rita Pucci, C. Micheloni, V. Roberto, G. Foresti, N. Martinel

{"title":"An Exploration of the Interaction Between capsules with ResNetCaps models","authors":"Rita Pucci, C. Micheloni, V. Roberto, G. Foresti, N. Martinel","doi":"10.1145/3349801.3349804","DOIUrl":"https://doi.org/10.1145/3349801.3349804","url":null,"abstract":"Image recognition is an open challenge in computer vision since its early stages. The application of deep neural networks yielded significant improvements towards its solution. Despite their classification abilities, deep networks need datasets with thousands of labelled images and prohibitive computational capabilities to achieve good performance. To address some of these challenges, the CapsNet neural architecture has been recently proposed as a promising machine learning model for image classification based on the idea of capsules. A capsule is a group of neurons whose output represents the presence of features of the same entity. In this paper, we start from the CapsNet architecture to explore and analyse the interaction between the presence of features within certain, similar classes. This is achieved by means of techniques for the features interaction, working on the outputs of two independent capsule-based models. To understand the importance of the interaction between capsules, extensive experiments have been carried out on four challenging dataset. Results show that the exploitation of capsules interaction yields to performance improvements.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"96 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126111876","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

Screening Early Children with Autism Spectrum Disorder via Expressing Needs with Index Finger Pointing 通过食指指动表达需求来筛选早期自闭症谱系障碍儿童

Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349826

Zhiyong Wang, Kai Xu, Honghai Liu

引用次数: 6