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

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Probabilistic framework for person tracking on embedded distributed smart cameras 嵌入式分布式智能摄像机上人员跟踪的概率框架
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042934
A. Zarezadeh, C. Bobda
{"title":"Probabilistic framework for person tracking on embedded distributed smart cameras","authors":"A. Zarezadeh, C. Bobda","doi":"10.1109/ICDSC.2011.6042934","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042934","url":null,"abstract":"Tracking individuals is a prominent application in such domains like surveillance or smart environments. This paper provides a development of a multiple camera setup with disjointed view that tracks moving persons in a site. It focuses on a probabilistic modeling which utilizes the discriminative observed features such as person's appearance, and her/his possible pathways for the estimation of the unobserved identity. Each camera evaluates the difference between its locally extracted generative model with the corresponding received models from its neighbors to find the correspondence between prior and recent identified persons. The linear interpolation is applied to combine the observed features. In conjunction with this efficient probabilistic framework, a novel system on chip design for an FPGA-based smart camera is developed. It provides a hardware/software co-design architecture to achieve the real-time performance inside the smart camera. The functionality of the proposed system is evaluated through a realistic case study.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"32 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":"127471140","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
Staging RANSAC: An indoor camera calibration method 分期RANSAC:一种室内摄像机标定方法
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042906
M. Aerts, Erwin Six
{"title":"Staging RANSAC: An indoor camera calibration method","authors":"M. Aerts, Erwin Six","doi":"10.1109/ICDSC.2011.6042906","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042906","url":null,"abstract":"This paper proposes a method of extrinsically calibrating cameras in a rectangular room-like environment. It searches for line segments to indicate planar surfaces in the scene, mainly floor, walls and ceiling and uses the homographical relation between matching features on those surfaces to solve for the calibration parameters of the camera and the planes. It is assumed that the environment follows the Manhattan-assumption, i.e. has orthogonal main directions, but we also propose solutions for the general case. We argue that this approach, together with its ability to help describing affine-invariant features to find a larger amount of correct matches, contributes to a larger robustness over epipolar constraint based methods. Due to its cascade-like nature, the method will yield a less accurate estimate, though it serves well as a starting point for bundle adjustment.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"1 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":"129838295","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 accurate 3D feature tracking system with wide-baseline stereo smart cameras 一个精确的3D特征跟踪系统与宽基线立体智能相机
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042931
D. Rueß, K. Manthey, R. Reulke
{"title":"An accurate 3D feature tracking system with wide-baseline stereo smart cameras","authors":"D. Rueß, K. Manthey, R. Reulke","doi":"10.1109/ICDSC.2011.6042931","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042931","url":null,"abstract":"A typical video surveillance system consists of at least one camera, controlled by an operator. To decrease the human error rate and to generally lessen the burden of operators, many object tracking systems have been implemented, most of which work in 2D image space. If used centralized, this is a very expensive task. Furthermore, if several views are to be fused, large inaccuracies arise due to ground plane assumptions, for instance. Lastly, in outdoor setups, quite often there is a need for slower channels like Wireless LAN which cannot cope with the full resolution data stream. We provide a smart camera system which performs the intensive tasks like background estimation or feature extraction. A central unit only has to process the received data in feature space, increasing scalability. Additionally, the object tracking problem is converted to an accurate 3D feature tracking, avoiding difficulties such as proper object segmentation and adding increased trajectory accuracy. The feature regions are computed within the smart camera. A wide-baseline feature matching approach has been employed to allow more freedom in the placement of the single smart cameras.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"1 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":"128932165","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
Demo: Omnidirectional video navigation on a tablet PC using a camera-based orientation tracker 演示:使用基于摄像头的方向跟踪器在平板电脑上进行全方位视频导航
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042941
J. Macq, Nico Verzijp, M. Aerts, Frederik Vandeputte, Erwin Six
{"title":"Demo: Omnidirectional video navigation on a tablet PC using a camera-based orientation tracker","authors":"J. Macq, Nico Verzijp, M. Aerts, Frederik Vandeputte, Erwin Six","doi":"10.1109/ICDSC.2011.6042941","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042941","url":null,"abstract":"This paper describes a set-up for navigating into omnidirectional video using a tablet PC, onto which a backside camera is used for sensing the device orientation. This allows the system to automatically control the video navigation based on the device rotation, hence enabling an end-user to interact with the content in a very natural manner.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"45 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":"121986144","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
Demonstration of a low power image processing system using a SCAMP3 vision chip 演示使用SCAMP3视觉芯片的低功耗图像处理系统
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042959
S. Carey, D. Barr, P. Dudek
{"title":"Demonstration of a low power image processing system using a SCAMP3 vision chip","authors":"S. Carey, D. Barr, P. Dudek","doi":"10.1109/ICDSC.2011.6042959","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042959","url":null,"abstract":"A low power vision system has been developed incorporating the SCAMP3 pixel-parallel processor array vision chip. A test algorithm to detect loitering targets has shown an average power consumption of <6mW analysing 128×128 images at 8 frames per second.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"1 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":"128970540","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
Demo: An automated face enrolment and recognition system across multiple cameras on CCTV networks 演示:一个自动人脸登记和识别系统，跨越闭路电视网络上的多个摄像头
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042955
F. Dadgostar, A. Bigdeli, Terence Smith
{"title":"Demo: An automated face enrolment and recognition system across multiple cameras on CCTV networks","authors":"F. Dadgostar, A. Bigdeli, Terence Smith","doi":"10.1109/ICDSC.2011.6042955","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042955","url":null,"abstract":"In this paper, we present an architecture for a video analytics framework, specifically designed for automatic enrollment and subsequent re-identification of faces on a network of cameras. The proposed system can be used as an assistive tool for applications such as passenger screening at airports as passengers walk through various sections of the airport.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"20 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":"131070707","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
Enabling communication infrastructure and protocol on embedded distributed smart cameras 在嵌入式分布式智能摄像机上实现通信基础设施和协议
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042922
A. Zarezadeh, C. Bobda
{"title":"Enabling communication infrastructure and protocol on embedded distributed smart cameras","authors":"A. Zarezadeh, C. Bobda","doi":"10.1109/ICDSC.2011.6042922","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042922","url":null,"abstract":"We present a viable communication infrastructure and protocols to support the versatile data exchange in a network of smart cameras. Each node in network is an embedded smart camera whose hardware/software architecture was carefully designed to meet the performance requirement while providing sufficient flexibility. We introduce a novel scalable clustering approach, which uses asynchronous event exchange among the neighboring camera nodes. The new software-based event exchange structure is integrated into a Hardware Object Request Broker (ORB), which guarantees the real-time performance for transmission in and the seamless design of the network. The empirical results from case studies prove the viability of the proposed event exchange for a set of FPGA-based embedded smart cameras.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"2 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":"131283279","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
Energy-efficient feedback tracking on embedded smart cameras by hardware-level optimization 基于硬件级优化的嵌入式智能摄像头节能反馈跟踪
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042915
Mauricio Casares, Senem Velipasalar, Paolo Santinelli, R. Cucchiara, A. Prati
{"title":"Energy-efficient feedback tracking on embedded smart cameras by hardware-level optimization","authors":"Mauricio Casares, Senem Velipasalar, Paolo Santinelli, R. Cucchiara, A. Prati","doi":"10.1109/ICDSC.2011.6042915","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042915","url":null,"abstract":"Embedded systems have limited processing power, memory and energy. When camera sensors are added to an embedded system, the problem of limited resources becomes even more pronounced. In this paper, we introduce two methodologies to increase the energy-efficiency and battery-life of an embedded smart camera by hardware-level operations when performing object detection and tracking. The CITRIC platform is employed as our embedded smart camera. First, down-sampling is performed at hardware level on the micro-controller of the image sensor rather than performing software-level down-sampling at the main microprocessor of the camera board. In addition, instead of performing object detection and tracking on whole image, we first estimate the location of the target in the next frame, form a search region around it, then crop the next frame by using the HREF and VSYNC signals at the micro-controller of the image sensor, and perform detection and tracking only in the cropped search region. Thus, the amount of data that is moved from the image sensor to the main memory at each frame is optimized. Also, we can adaptively change the size of the cropped window during tracking depending on the object size. Reducing the amount of transferred data, better use of the memory resources, and delegating image down-sampling and cropping tasks to the micro-controller on the image sensor, result in significant decrease in energy consumption and increase in battery-life. Experimental results show that hardware-level down-sampling and cropping, and performing detection and tracking in cropped regions provide 41.24% decrease in energy consumption, and 107.2% increase in battery-life. Compared to performing software-level down-sampling and processing whole frames, proposed methodology provides an additional 8 hours of continuous processing on 4 AA batteries, increasing the lifetime of the camera to 15.5 hours.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"58 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":"124817565","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: 7
Collaborative acquisition of multi-view face images in real-time using a wireless camera network 利用无线摄像机网络实时协同采集多视角人脸图像
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042898
Srikanth Parupati, Rohith Bakkannagari, S. Sankar, V. Kulathumani
{"title":"Collaborative acquisition of multi-view face images in real-time using a wireless camera network","authors":"Srikanth Parupati, Rohith Bakkannagari, S. Sankar, V. Kulathumani","doi":"10.1109/ICDSC.2011.6042898","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042898","url":null,"abstract":"In order to support real-time face recognition using a wireless camera network, we design a data acquisition service to quickly and reliably acquire face images of human subjects from multiple views and to simultaneously index each acquired image into its corresponding pose. In comparison with detection of frontal faces, the detection of non-frontal faces with unknown pose is a much more challenging problem that involves significant image processing. In this paper, we describe a collaborative approach in which multi-view camera geometry and inter-camera communication is utilized at run time to significantly reduce the required processing time. By doing so, we are able to achieve a high capture rate for both frontal and non-frontal faces and at the same time maintain a high detection accuracy. We implement our face acquisition system on a 1.6 GHz Intel Atom Processor based embedded camera network and show that we can reliably acquire frontal faces at 11 fps and non-frontal faces at 10 fps on images captured at a resolution of 640 × 480 pixels.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"13 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":"132402533","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
Building an occupancy model from sensor networks in office environments 从办公环境中的传感器网络构建占用模型
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras Pub Date : 2011-10-13 DOI: 10.1109/ICDSC.2011.6042929
Federico Castanedo, D. López-de-Ipiña, H. Aghajan, R. Kleihorst
{"title":"Building an occupancy model from sensor networks in office environments","authors":"Federico Castanedo, D. López-de-Ipiña, H. Aghajan, R. Kleihorst","doi":"10.1109/ICDSC.2011.6042929","DOIUrl":"https://doi.org/10.1109/ICDSC.2011.6042929","url":null,"abstract":"The work presented here aims to answer this question: Using just binary occupancy sensors is it possible to build a behaviour occupancy model over long-term logged data? Sensor measurements are grouped to form artificial words (activities) and documents (set of activities). The goal is to infer the latent topics which are assumed to be the common routines from the observed data. An unsupervised probabilistic model, namely the Latent Dirichlet Allocation (LDA), is applied to automatically discover the latent topics (routines) in the data. Experimental results using real logged data of 24 weeks from an office building, with different number of topics, are shown. The results show the power of the LDA model in extracting relevant patterns from sensor network data.","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":"128711679","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
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