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

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A knowledge-based camera selection approach for object tracking in large sensor networks 基于知识的大型传感器网络目标跟踪摄像机选择方法
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289400
Eduardo Monari, K. Kroschel
{"title":"A knowledge-based camera selection approach for object tracking in large sensor networks","authors":"Eduardo Monari, K. Kroschel","doi":"10.1109/ICDSC.2009.5289400","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289400","url":null,"abstract":"In this paper an approach for dynamic sensor selection in large video-based sensor networks for the purpose of multi-camera object tracking is presented. The sensor selection approach is based on computational geometry algorithms and is able to determine task-relevant cameras (camera cluster) by evaluation of geometrical attributes, given the last observed object position, the sensor configurations and the environment model. Hereby, a special goal of this algorithm is to determine the minimum number of sensors needed to relocate an object, even if the object is temporarily out of sight (e.g., by non-overlapping sensor coverage). It will be shown that the algorithm enables self-organizing tracking approaches to perform optimal camera selection in a highly efficient way. In particular, the approach is applicable to very large camera networks and leads to a highly reduced network and processor load for multi-camera tracking.","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":"115503105","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
Recognizing activities from context and arm pose using finite state machines 使用有限状态机从上下文和手臂姿势识别活动
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289370
Thiago Teixeira, Deokwoo Jung, G. Dublon, A. Savvides
{"title":"Recognizing activities from context and arm pose using finite state machines","authors":"Thiago Teixeira, Deokwoo Jung, G. Dublon, A. Savvides","doi":"10.1109/ICDSC.2009.5289370","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289370","url":null,"abstract":"We present an activity-recognition system for assisted living applications and smart homes. While existing systems tend to rely on expensive computation of comparatively largedimension data sets, ours leverages information from a small number of fundamentally different sensor measurements that provide context information pertaining the person's location, and action information by observing the motion of the body and arms. Camera nodes are placed on the ceiling to track people in the environment, and place them in the context of a building map where areas and objects of interest are premarked. Additionally, a single inertial sensor node is placed on the subject's arm to infer arm pose, heading and motion frequency using an accelerometer, gyroscope and magnetometer. These four measurements are parsed using a lightweight hierarchy of finite state machines, yielding recognition rates with high precision and recall values (0.92 and 0.93, respectively).","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"20 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":"128733510","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: 21
Efficient camera selection strategy for multiple objects association 多目标关联的高效摄像机选择策略
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289399
S. Cho, Sangjin Hong, W. Cho
{"title":"Efficient camera selection strategy for multiple objects association","authors":"S. Cho, Sangjin Hong, W. Cho","doi":"10.1109/ICDSC.2009.5289399","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289399","url":null,"abstract":"In this paper, we propose an efficient camera selection strategy finding the correspondence of objects among multiple cameras. Targets are associated by locally generating homographic lines. The effectiveness of homographic lines depends on the separation between targets, which is varied by different camera views. A pair of the best cameras are selected by using the amount of the separation between targets to minimize unnecessary homographic lines. The proposed method reduces computational costs for using homographic lines while achieving the maximum association performance. Association information in unselected cameras is updated with the constructed global information of objects in selected cameras. The proposed method is evaluated with the simulation and its computational costs are compared with the worst case.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"71 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":"126205783","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
Sport players detection and tracking with a mixed network of planar and omnidirectional cameras 运动运动员的检测和跟踪与平面和全向摄像机的混合网络
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289406
Alexandre Alahi, Y. Boursier, L. Jacques, P. Vandergheynst
{"title":"Sport players detection and tracking with a mixed network of planar and omnidirectional cameras","authors":"Alexandre Alahi, Y. Boursier, L. Jacques, P. Vandergheynst","doi":"10.1109/ICDSC.2009.5289406","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289406","url":null,"abstract":"A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem. A dictionary made of atoms representing the silhouettes of a person at a given location is used within the problem formulation. A reweighted scheme is considered to better approximate the sparsity prior. Although the framework is generic to any scene, the focus of this paper is to evaluate the performance of the proposed approach on a basketball game. The main challenges come from the players' behavior, their similar appearance, and the mutual occlusions present in the views. In addition, the extracted foreground silhouettes are severely degraded due to the polished floor reflecting the players, and the strong shadow present in the scene. We present qualitative and quantitative results with the APIDIS dataset as part of the ICDSC sport challenge. 1","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":"124304079","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: 44
A random projections model for object tracking under variable pose and multi-camera views 可变姿态和多摄像机视图下的目标跟踪随机投影模型
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289384
Grigorios Tsagkatakis, A. Savakis
{"title":"A random projections model for object tracking under variable pose and multi-camera views","authors":"Grigorios Tsagkatakis, A. Savakis","doi":"10.1109/ICDSC.2009.5289384","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289384","url":null,"abstract":"Embedded vision systems, such as smart cameras, provide a new framework for computer vision algorithms in resource constrained environments. In this paper, we present a new object tracking methodology based on random projections, which offers the benefits of fast, low-complexity transformation of the input data into accurate and computationally attractive representations. Random projections are used for the generation of a template library that describes the object's appearance and achieves robustness under pose variations. Furthermore, the random projections model is used for reliable handoff between different cameras with partially overlapping fields of view. The proposed object tracking algorithm is tailored to the limited processing capabilities of smart cameras by requiring reduced network bandwidth during camera handoff and low memory requirements for the template library maintenance. Experimental results indicate that the proposed algorithm can maintain robust tracking under varying object pose and across camera views while using limited resources, a key benefit for embedded vision systems.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"76 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":"131170986","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
Super-resolution based on blind deconvolution using similarity of power spectra 基于功率谱相似性的盲反卷积超分辨率
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289374
Toshihisa Tanaka, Ryou Miyamoto, R. M. Chong
{"title":"Super-resolution based on blind deconvolution using similarity of power spectra","authors":"Toshihisa Tanaka, Ryou Miyamoto, R. M. Chong","doi":"10.1109/ICDSC.2009.5289374","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289374","url":null,"abstract":"Generally, blind super-resolution with unknown blurs is treated as an optimization problem. This involves a cost function, composed of terms accounting for changes in image and point spread function (PSF), which usually undergoes regularization due to the ill-posedness of the problem. In this paper, we introduce a novel regularization term for the PSF such that the spectral change in the image caused by degradation is also included. This is based on the fact that the presence of PSF in images affects the frequency component concentration. This cost function is optimized with respect to the image and the PSF in an alternating manner. Experiment results show that the proposed method is effective based on an objective evaluation method and that its PSF estimation accuracy is competitive in comparison with the recently proposed parametric method.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"129 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":"133688290","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
Detecting interleaved sequences and groups in camera streams for human behavior sensing 检测相机流中用于人类行为感知的交错序列和组
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289409
Athanasios Bamis, Jia Fang, A. Savvides
{"title":"Detecting interleaved sequences and groups in camera streams for human behavior sensing","authors":"Athanasios Bamis, Jia Fang, A. Savvides","doi":"10.1109/ICDSC.2009.5289409","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289409","url":null,"abstract":"Deployments of camera security systems are capable of capturing long data sequences about human activity. This paper deals with processing of detected sequences at a more macroscopic level to detect chains of events based on a prior given specification. In our problem, sensed interactions between people are modeled as sequences of pairwise events that are interleaved with other interactions taking place in the background. We formulate the problem as an isomorphic subgraph matching problem and solve it to detect a chain of events, its participants and their roles. We further evaluate our solution in the presence of background interference from other interactions and give analytical and empirical results about the performance of our algorithm.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"50 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":"133748220","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
Distributed and lightweight multi-camera human activity classification 分布式轻量级多摄像机人体活动分类
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289354
Gaurav Srivastava, Hidekazu Iwaki, Johnny Park, A. Kak
{"title":"Distributed and lightweight multi-camera human activity classification","authors":"Gaurav Srivastava, Hidekazu Iwaki, Johnny Park, A. Kak","doi":"10.1109/ICDSC.2009.5289354","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289354","url":null,"abstract":"We propose a human activity classification algorithm that has a distributed and lightweight implementation appropriate for wireless camera networks. With input from multiple cameras, our algorithm achieves invariance to the orientation of the actor and to the camera viewpoint. We conceptually describe how the algorithm can be implemented on a distributed architecture, obviating the need for centralized processing of the entire multi-camera data. The lightweight implementation is made possible by the very affordable memory and communication bandwidth requirements of the algorithm. Notwithstanding its lightweight nature, the performance of the algorithm is comparable to that of the earlier multi-camera approaches that are based on computationally expensive 3D human model construction, silhouette matching using reprojected 2D views, and so on. Our algorithm is based on multi-view spatio-temporal histogram features obtained directly from acquired images; no background subtraction is required. Results are analyzed for two publicly available multi-camera multi-action datasets. The system's advantages relative to single camera techniques are also discussed.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"12 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109140","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: 36
PhD forum: Hierarchical feature scheme for object recognition in visual sensor networks 博士论坛:视觉传感器网络中目标识别的层次特征方案
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289394
Vildana Sulic Kenk, J. Pers, M. Kristan, S. Kovacic
{"title":"PhD forum: Hierarchical feature scheme for object recognition in visual sensor networks","authors":"Vildana Sulic Kenk, J. Pers, M. Kristan, S. Kovacic","doi":"10.1109/ICDSC.2009.5289394","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289394","url":null,"abstract":"We propose a framework for hierarchical feature distribution scheme for object recognition in a network of visual sensors. The key of our approach is the principle that individual nodes in the network hold only a small amount of information about objects seen by the network, however, this small amount is sufficient to efficiently route queries through the network. Preliminary results suggest that amount of data transmitted through the network can be reduced in comparison to simpler feature distribution schemes.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"40 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":"114665061","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
Person tracking in camera networks using graph-based bayesian inference 基于图的贝叶斯推理在摄像机网络中的人物跟踪
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI: 10.1109/ICDSC.2009.5289378
F. V. D. Camp, Keni Bernardin, R. Stiefelhagen
{"title":"Person tracking in camera networks using graph-based bayesian inference","authors":"F. V. D. Camp, Keni Bernardin, R. Stiefelhagen","doi":"10.1109/ICDSC.2009.5289378","DOIUrl":"https://doi.org/10.1109/ICDSC.2009.5289378","url":null,"abstract":"In this paper, a probabilistic approach for tracking multiple persons through a network of distributed cameras is presented. The approach deals with the main problems associated with the tracking of persons through wide area networks - bridging large observation gaps between camera views and reidentifying persons - by building on robust and view-invariant high-level features as well as a highly error-tolerant probabilistic filtering of person locations. The extraction quality and discriminative power of the proposed features is evaluated on realistic data including well-known and established benchmark datasets. A comparative performance analysis is then made to assess the accuracy of the probabilistic inter-camera tracking method given a number of different simulated and real quality levels of the underlying person detection and feature extraction components. The experiments are made using a simulated virtual environment involving multiple persons in an indoor surveillance scenario.","PeriodicalId":324810,"journal":{"name":"2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)","volume":"62 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":"134633451","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: 20
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