2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)最新文献_第8页

Conditioning multimodal information for smart environments 为智能环境调节多模态信息

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289373

D. Looney, N. Rehman, D. Mandic, Tomasz M. Rutkowski, A. Heidenreich, Dagmar Beyer

引用次数: 0

Performance evaluation of two state of the art DVC codecs 两种最先进的DVC编解码器的性能评估

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289372

N. Anantrasirichai, D. Agrafiotis, M. Ouaret, F. Dufaux, T. Ebrahimi

引用次数: 3

Resource-efficient acceleration of 2-dimensional Fast Fourier Transform computations on FPGAs fpga上二维快速傅里叶变换计算的资源高效加速

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289356

Hojin Kee, S. Bhattacharyya, N. Petersen, Jacob Kornerup

{"title":"Resource-efficient acceleration of 2-dimensional Fast Fourier Transform computations on FPGAs","authors":"Hojin Kee, S. Bhattacharyya, N. Petersen, Jacob Kornerup","doi":"10.1109/ICDSC.2009.5289356","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289356","url":null,"abstract":"The 2-dimensional (2D) Fast Fourier Transform (FFT) is a fundamental, computationally intensive function that is of broad relevance to distributed smart camera systems. In this paper, we develop a systematic method for improving the throughput of 2D-FFT implementations on field-programmable gate arrays (FPGAs). Our method is based on a novel loop unrolling technique for FFT implementation, which is extended from our recent work on FPGA architectures for 1D-FFT implementation [1]. This unrolling technique deploys multiple processing units within a single 1D-FFT core to achieve efficient configurations of data parallelism while minimizing memory space requirements, and FPGA slice consumption. Furthermore, using our techniques for parallel processing within individual 1DFFT cores, the number of input/output (I/O) ports within a given 1D-FFT core is limited to one input port and one output port. In contrast, previous 2D-FFT design approaches require multiple I/O pairs with multiple FFT cores. This streamlining of 1D-FFT interfaces makes it possible to avoid complex interconnection networks and associated scheduling logic for connecting multiple I/O ports from 1D-FFT cores to the I/O channel of external memory devices. Hence, our proposed unrolling technique maximizes the ratio of the achieved throughput to the consumed FPGA resources under pre-defined constraints on I/O channel bandwidth. To provide generality, our framework for 2D-FFT implementation can be efficiently parameterized in terms of key design parameters such as the transform size and I/O data word length.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"284 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":"116190876","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: 9

Semantic browsing of video surveillance databases through Online Generic Indexing 基于在线通用标引的视频监控数据库语义浏览

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289366

Denis Marraud, Benjamin Cepas, Livier Reithler

{"title":"Semantic browsing of video surveillance databases through Online Generic Indexing","authors":"Denis Marraud, Benjamin Cepas, Livier Reithler","doi":"10.1109/ICDSC.2009.5289366","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289366","url":null,"abstract":"This paper gives a thorough overview of EADS UrbanVIEW indexing and mining platform aimed at providing police forces and security officers with advanced tools to efficiently browse large video surveillance databases for investigation purposes. A scalable indexing architecture that works indifferently with smart or classical camera networks as well as for real-time or a posteriori indexing has been designed and implemented. We introduce the concept of Online Generic Indexing Strategy (OGIS) aimed at systematically enriching each video stream with real-time extracted generic metadata allowing to dramatically decrease post-event investigation time. The indexing strategy relies on the systematic detection, tracking and characterization of all observed moving objects. Semantic and non semantic metadata produced by embedded or distributed video analytics modules can be used either to browse the distributed video databases or as inputs to higher level characterization modules (object identification, multi-camera back-tracking, event recognition…). Once a first observation of an object of interest has been found, it can be forward and backward tracked thanks to an interactive multi-stream player taking into account the multi-camera context. Our platform has been assessed on the NGSIM and I-LIDS datasets which consist of real heavy traffic images, showing both high recall and high detection rates in its retrieval capabilities.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"70 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":"126478557","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: 5

A distributed camera network architecture supporting video adaptation 支持视频适配的分布式摄像机网络架构

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289376

Razib Iqbal, S. Ratti, S. Shirmohammadi

引用次数: 9

Unsupervised camera network structure estimation based on activity 基于活动的无监督摄像机网络结构估计

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289362

Pierre Clarot, E. Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama

{"title":"Unsupervised camera network structure estimation based on activity","authors":"Pierre Clarot, E. Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama","doi":"10.1109/ICDSC.2009.5289362","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289362","url":null,"abstract":"In this paper we consider the problem of unsupervised topology reconstruction in uncalibrated visual sensor networks. We assume that a number of video cameras observe a common scene from arbitrary and unknown locations, orientations and zoom levels, and show that the extrinsic and calibration matrices, fundamental and essential matrices, the homography matrix, and the physical configuration of the cameras with respect to each other can be estimated in an unsupervised manner. Our method relies on the similarity of activity patterns observed at various locations, and an unsupervised matching method based on these activity patterns. The proposed method works in cases with cameras having significantly different orientations and zoom levels, where many of the existing methods cannot be applied. We explain how to extend the method to a multicamera case where more than two cameras are involved. We present both qualitative and quantitative results of our estimates, and conclude that this method can be applied in wide area surveillance applications in which the deployed systems need to be flexible and scalable, and where calibration can be a major challenge.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"72 4 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":"124677408","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: 5

PhD forum: Multiple camera management using wide base-line matching 博士论坛:使用宽基线匹配的多摄像机管理

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-09-09 DOI: 10.1109/ICDSC.2009.5289393

R. Lakemond, C. Fookes, S. Sridharan

引用次数: 1

Image interpolation with dense disparity estimation in multiview distributed video coding 多视点分布式视频编码中密集视差估计的图像插值

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-08-01 DOI: 10.1109/ICDSC.2009.5289344

Wided Miled, Thomas Maugey, Marco Cagnazzo, B. Pesquet-Popescu

引用次数: 5