2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras最新文献

End-user viewpoint control of live video from a medical camera array 终端用户视点控制实时视频从医疗摄像机阵列

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042917

Jeffrey R. Blum, Haijian Sun, Adriana Olmos, J. Cooperstock

引用次数: 0

Demo: Distributed video coding applications in wireless multimedia sensor networks 演示:分布式视频编码在无线多媒体传感器网络中的应用

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042958

M. Jacobs, N. Deligiannis, Frederik Verbist, Jürgen Slowack, J. Barbarien, R. Walle, P. Schelkens, A. Munteanu

引用次数: 3

Tracking across multiple cameras with overlapping views based on brightness and tangent transfer functions 基于亮度和正切传递函数的重叠视图跟踪多个摄像机

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042911

Chun-Te Chu, Jenq-Neng Hwang, Kung-Ming Lan, Shen-Zheng Wang

引用次数: 25

PhD forum: Investigating the performance of a multi-modal approach to unusual event detection 博士论坛:研究异常事件检测的多模态方法的性能

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042954

J. Kuklyte, Philip Kelly, N. O’Connor

{"title":"PhD forum: Investigating the performance of a multi-modal approach to unusual event detection","authors":"J. Kuklyte, Philip Kelly, N. O’Connor","doi":"10.1109/ICDSC.2011.6042954","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042954","url":null,"abstract":"In this paper, we investigate the parameters underpinning our previously presented system for detecting unusual events in surveillance applications [1]. The system identifies anomalous events using an unsupervised data-driven approach. During a training period, typical activities within a surveilled environment are modeled using multi-modal sensor readings. Significant deviations from the established model of regular activity can then be flagged as anomalous at run-time. Using this approach, the system can be deployed and automatically adapt for use in any environment without any manual adjustment. Experiments carried out on two days of audio-visual data were performed and evaluated using a manually annotated ground-truth. We investigate sensor fusion and quantitatively evaluate the performance gains over single modality models. We also investigate different formulations of our cluster-based model of usual scenes as well as the impact of dynamic thresholding on identifying anomalous events. Experimental results are promising, even when modeling is performed using very simple audio and visual features.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127173959","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

Multi-camera tracking by joint calibration, association and fusion 联合标定、关联和融合的多摄像机跟踪

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042913

Siyue Chen, H. Leung

引用次数: 3

Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor Wi-FLIP:一种基于焦平面低功耗图像处理器的无线智能相机

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042916

J. Fernández-Berni, R. Carmona-Galán, G. Cembrano, Á. Zarándy, Á. Rodríguez-Vázquez

{"title":"Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor","authors":"J. Fernández-Berni, R. Carmona-Galán, G. Cembrano, Á. Zarándy, Á. Rodríguez-Vázquez","doi":"10.1109/ICDSC.2011.6042916","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042916","url":null,"abstract":"This paper presents Wi-FLIP, a vision-enabled WSN node resulting from the integration of FLIP-Q, a prototype vision chip, and Imotel, a commercial WSN platform. In Wi-FLIP, image processing is not only constrained to the digital domain like in conventional architectures. Instead, its image sensor — the FLIP-Q prototype — incorporates pixel-level processing elements (PEs) implemented by analog circuitry. These PEs are interconnected, rendering a massively parallel SIMD-based focal-plane array. Low-level image processing tasks fit very well into this processing scheme. They feature a heavy computational load composed of pixel-wise repetitive operations which can be realized in parallel with moderate accuracy. In such circumstances, analog circuitry, not very precise but faster and more area- and power-efficient than its digital counterpart, has been extensively reported to achieve better performance. The Wi-FLIP's image sensor does not therefore output raw but pre-processed images that make the subsequent digital processing much lighter. The energy cost of such pre-processing is really low — 5.6mW for the worst-case scenario. As a result, for the configuration where the Imote2's processor works at minimum clock frequency, the maximum power consumed by our prototype represents only the 5.2% of the whole system power consumption. This percentage gets even lower as the clock frequency increases. We report experimental results for different algorithms, image resolutions and clock frequencies. The main drawback of this first version of Wi-FLIP is the low frame rate reachable due to the non-standard GPIO-based FLIPQ-to-Imote2 interface.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999277","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

Human detection using mobile embedded smart cameras 利用移动嵌入式智能摄像头进行人体检测

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042924

Li He, Youlu Wang, Senem Velipasalar, M. C. Gursoy

引用次数: 13

Identification of intruders in groups of people using cameras and RFIDs 使用摄像头和rfid识别人群中的入侵者

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042909

R. Cucchiara, Michele Fornaciari, R. Haider, F. Mandreoli, A. Prati

引用次数: 4

PhD forum: Multi-view occupancy maps using a network of low resolution visual sensors 博士论坛:使用低分辨率视觉传感器网络的多视角占用地图

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042951

Sebastian Gruenwedel, Vedran Jelaca, P. V. Hese, R. Kleihorst, W. Philips

{"title":"PhD forum: Multi-view occupancy maps using a network of low resolution visual sensors","authors":"Sebastian Gruenwedel, Vedran Jelaca, P. V. Hese, R. Kleihorst, W. Philips","doi":"10.1109/ICDSC.2011.6042951","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042951","url":null,"abstract":"An occupancy map provides an abstract top view of a scene and can be used for many applications such as domotics, surveillance, elderly-care and video teleconferencing. Such maps can be accurately estimated from multiple camera views. However, using a network of regular high resolution cameras makes the system expensive, and quickly raises privacy concerns (e.g. in elderly homes). Furthermore, their power consumption makes battery operation difficult. A solution could be the use of a network of low resolution visual sensors, but their limited resolution could degrade the accuracy of the maps. In this paper we used simulations to determine the minimum required resolution needed for deriving accurate occupancy maps which were then used to track people. Multi-view occupancy maps were computed from foreground silhouettes derived via an analysis of moving edges. Ground occupancies computed from each view were fused in a Dempster-Shafer framework. Tracking was done via a Bayes filter using the occupancy map per time instance as measurement. We found that for a room of 8.8 by 9.2 m, 4 cameras with a resolution as low as 64 by 48 pixels was sufficient to estimate accurate occupancy maps and track up to 4 people. These findings indicate that it is possible to use low resolution visual sensors to build a cheap, power efficient and privacy-friendly system for occupancy monitoring.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127783031","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

Distributed three-dimensional camera alignment in highly-dynamical prioritized observation areas 高动态优先观测区域的分布式三维相机对准

2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042904

Uwe Jänen, Matthias Huy, Carsten Grenz, J. Hähner, Martin Hoffmann

引用次数: 7