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2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)最新文献

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Compressed domain aided analysis of traffic surveillance videos 交通监控视频的压缩域辅助分析
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289345
Christian Käs, Mathieu Brulin, H. Nicolas, C. Maillet
{"title":"Compressed domain aided analysis of traffic surveillance videos","authors":"Christian Käs, Mathieu Brulin, H. Nicolas, C. Maillet","doi":"10.1109/ICDSC.2009.5289345","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289345","url":null,"abstract":"We present a novel system to perform efficient, compressed domain aided video analysis in the context of traffic surveillance applications. After camera installation, the system initializes by performing two short and fully automatic learning stages to gather information about the background and the principal moving directions in the scene. This knowledge is later used to assist the detection and tracking of vehicles. We combine processing in the pixel domain on decoded I-frames with motion based information from the H.264/SVC compressed domain in order to obtain a hybrid solution that delivers robust results at low computational complexity. Pan-Tilt-Zoom cameras are supported by the system, since global motion estimation is performed using the motion vectors that are present in the compressed stream.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119298","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: 10
Distributed calibration of Camera Sensor Networks 相机传感器网络的分布式标定
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289397
Ehsan Elhamifar, R. Vidal
{"title":"Distributed calibration of Camera Sensor Networks","authors":"Ehsan Elhamifar, R. Vidal","doi":"10.1109/ICDSC.2009.5289397","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289397","url":null,"abstract":"We propose a distributed algorithm for calibrating the intrinsic and extrinsic parameters of a Camera Sensor Network (CSN). We assume that only one of the cameras is calibrated and that the network graph, i.e. the graph over which the cameras communicate, is connected. Each camera uses simple algorithms based on epipolar geometry to obtain its calibration matrix as well as its pose relative to a reference frame. A distributed consensus algorithm is derived to enforce a globally consistent solution for the recovered 3D structure across the entire network. We demonstrate the validity and effectiveness of our method through synthetic experiments.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116037491","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: 11
PTZ camera network reconfiguration PTZ摄像机网络重新配置
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289419
C. Piciarelli, C. Micheloni, G. Foresti
{"title":"PTZ camera network reconfiguration","authors":"C. Piciarelli, C. Micheloni, G. Foresti","doi":"10.1109/ICDSC.2009.5289419","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289419","url":null,"abstract":"Vision Network based surveillance systems are more and more common in public places. Typically, a mixture of static and Pan-Tilt-Zoom (PTZ) cameras is used. Modern systems task PTZ cameras as a consequence of particular events needing further investigation; anyhow, the configuration of the network can be considered fixed and determined at the moment of deployment. In this work, we deal with a problem that has not yet been widely addressed: how a network can automatically change its configuration to enhance the monitoring capabilities. In particular, we propose a novel network reconfiguration algorithm that, given a map of activities, configures the Pan, Tilt and Zoom parameters of all the cameras in order to improve the detection. A spherical model to project all the activities in the monitored area with respect to the optical centre of each camera is introduced. Such a model leads to an optimization problem that can be solved by means of the Expectation-Maximization algorithm and whose solutions are the new Pan, Tilt and Zoom values for each PTZ camera. Experimental results will be proposed with both synthetic and real data to show how the proposed algorithm can be applied to different cases.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123700022","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: 42
PhD forum: Keypoints-based background model and foreground pedestrians extraction for future smart cameras 博士论坛:面向未来智能摄像头的基于关键点的背景模型和前景行人提取
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289390
Omar Hamdoun, F. Moutarde
{"title":"PhD forum: Keypoints-based background model and foreground pedestrians extraction for future smart cameras","authors":"Omar Hamdoun, F. Moutarde","doi":"10.1109/ICDSC.2009.5289390","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289390","url":null,"abstract":"In this paper, we present a method for background modeling using only keypoints, and detection of foreground moving pedestrians using background keypoints substraction followed by adaBoost classification of foreground keypoints. A first experimental evaluation shows very promising detection performances in real-time.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821907","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
Improved view interpolation for side information in multiview distributed video coding 改进了多视图分布式视频编码中边线信息的视图插值
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289375
S. Shimizu, Y. Tonomura, H. Kimata, Y. Ohtani
{"title":"Improved view interpolation for side information in multiview distributed video coding","authors":"S. Shimizu, Y. Tonomura, H. Kimata, Y. Ohtani","doi":"10.1109/ICDSC.2009.5289375","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289375","url":null,"abstract":"Distributed video coding (DVC) is an attractive coding scheme for distribute camera networks because it has the potential to achieve low-complexity encoding and to exploit inter-view correlation without communication among cameras during encoding. It is well-known that the quality of the side information strongly impacts the coding performance of DVC. Therefore, this paper proposes an adaptive filtering method that yields improved view interpolation side information (VISI). The proposed adaptive filter compensates the inter-view mismatches caused by heterogeneous cameras. The filter coefficients are estimated to minimize the differences between the view-interpolated frame and the decoded frame on the key frame just prior to the WZF decoding step. Simulations show that the proposed method improves VISI quality by about 2 dB on breakdancers and about 3 dB on ballet sequences.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123763631","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
Efficient approximate foreground detection for low-resource devices 低资源设备的高效近似前景检测
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289416
L. Tessens, M. Morbée, W. Philips, R. Kleihorst, H. Aghajan
{"title":"Efficient approximate foreground detection for low-resource devices","authors":"L. Tessens, M. Morbée, W. Philips, R. Kleihorst, H. Aghajan","doi":"10.1109/ICDSC.2009.5289416","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289416","url":null,"abstract":"A broad range of very powerful foreground detection methods exist because this is an essential step in many computer vision algorithms. However, because of memory and computational constraints, simple static background subtraction is very often the technique that is used in practice on a platform with limited resources such as a smart camera. In this paper we propose to apply more powerful techniques on a reduced scan line version of the captured image to construct an approximation of the actual foreground without overburdening the smart camera. We show that the performance of static background subtraction quickly drops outside of a controlled laboratory environment, and that this is not the case for the proposed method because of its ability to update its background model. Furthermore we provide a comparison with foreground detection on a subsampled version of the captured image. We show that with the proposed foreground approximation higher true positive rates can be achieved.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128331234","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: 11
A comparison of techniques for camera selection and handoff in a video network 视频网络中摄像机选择和切换技术的比较
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289342
Yiming Li, B. Bhanu
{"title":"A comparison of techniques for camera selection and handoff in a video network","authors":"Yiming Li, B. Bhanu","doi":"10.1109/ICDSC.2009.5289342","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289342","url":null,"abstract":"Video networks are becoming increasingly important for solving many real-world problems, Multiple video sensors, usually cameras, require collaboration when performing various tasks. One of the most basic tasks is the tracking of objects, which requires mechanisms to select a camera for a certain object and hand-off this object from one camera to another so as to accomplish seamless tracking. In this paper, we provide a comprehensive comparison of current and emerging camera selection and hand-off techniques. We consider geometry, statistics, and game theory-based approaches and provide both theoretial and experimental comparison using centralized and distributed computational models. We provide simulation and experimental results using real data for various scenarios of a large number of cameras and objects for in-depth understanding of strengths and weaknesses of these techniques.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121767965","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: 23
DSPcam: A camera sensor system for surveillance networks 用于监控网络的摄像机传感器系统
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289351
Arvind Kandhalu, Anthony G. Rowe, R. Rajkumar
{"title":"DSPcam: A camera sensor system for surveillance networks","authors":"Arvind Kandhalu, Anthony G. Rowe, R. Rajkumar","doi":"10.1109/ICDSC.2009.5289351","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289351","url":null,"abstract":"Surveillance is emerging as a key application of camera networks. In this paper, we describe our wireless smart camera system called DSPcam designed for real-time surveillance purposes. DSPcam has a Blackfin processor, CMOS image sensor and 802.11 b/g communication module. It also integrates with a standard sensor network node such as Firefly [1], through which IEEE 802.15.4-based communication is available. An open-source image processing library ported to our DSPcam platform allows for the development of many computer vision applications. We use the in-network processing ability of each DSPcam in our system to annotate video streams with meta-data information that succinctly describes key elements of the visual data being transmitted. The meta-data can be used to trigger alerts and for conducting rapid ex post facto searches. The DSPcams use a time-synchronized communication protocol called TSAM [2] that enables transmission of a large number of video flows and dynamic allocation of bandwidth for high-priority video streams. Finally, we also describe the integration of DSPcam with Sensor Andrew, a large-scale sensing network [4] deployed across the campus of Anonymous University.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714921","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: 38
VideoWeb: Design of a wireless camera network for real-time monitoring of activities VideoWeb:为实时监控活动而设计的无线摄像网络
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289418
H. T. Nguyen, B. Bhanu, Ankit Patel, R. Diaz
{"title":"VideoWeb: Design of a wireless camera network for real-time monitoring of activities","authors":"H. T. Nguyen, B. Bhanu, Ankit Patel, R. Diaz","doi":"10.1109/ICDSC.2009.5289418","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289418","url":null,"abstract":"Sensor networks have been a very active area of research in recent years. However, most of the sensors used in the development of these networks have been local and non-imaging sensors such as acoustics, seismic, vibration, temperature, humidity, etc. The development of emerging video sensor networks poses its own set of unique challenges, including high bandwidth and low latency requirements for real-time processing and control. This paper presents a systematic approach for the design, implementation, and evaluation of a large-scale, software-reconfigurable, wireless camera network, suitable for a variety of practical real-time applications. We take into consideration issues related to the hardware, software, control, architecture, network connectivity, performance evaluation, and data processing strate-gies for the network. We perform multi-objective optimization on settings such as video resolution and compression quality to provide insight into the performance trade-offs when configuring such a network.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116909911","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: 15
A multi camera system for soccer player performance evaluation 一种用于足球运动员成绩评价的多摄像机系统
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289343
Marco Leo, T. D’orazio, M. Trivedi
{"title":"A multi camera system for soccer player performance evaluation","authors":"Marco Leo, T. D’orazio, M. Trivedi","doi":"10.1109/ICDSC.2009.5289343","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289343","url":null,"abstract":"This paper presents a multi-view approach to performance evaluation of soccer players by the analysis of the posture evolution. Some body-appearance features have been extracted and the most significant ones have been used to model the activity of the players involved in play. Continuous Hidden Markov Models have been used to model the temporal evolution of the body features in a multiple view decision making approach. Tests were carried out on different sequences of player activities extracted from matches played during the Italian “Serie A” Championship.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123018708","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
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