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Sparse representation and dictionary learning based on alternating parallel coordinate descent 基于交替平行坐标下降的稀疏表示和字典学习
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765490
Zunyi Tang, Toshiyo Tamura, Shuxue Ding, Zhenni Li
Recently, sparse representations via an overcomplete dictionary has become a major field of research in signal processing. Much efforts have been focused on the development of dictionary learning algorithms so that the sparse representation of signals can be efficiently performed. In this paper, we propose a method for learning a signal dependent overcomplete dictionary. This is accomplished by posing the sparse representation of signals as a problem of matrix factorization with a sparsity constraint. By generalizing the conventional coordinate descent method, we develop a so-called sparse alternating parallel coordinate descent (SAPCD) algorithm, which is structured by iteratively solving the two optimal problems, the learning process of the dictionary and the estimating process of the coefficients for constructing the signals. Numerical experiments demonstrate that the proposed algorithm performs better than the famous K-SVD algorithm and several other algorithms for comparison.
近年来,利用过完备字典进行稀疏表示已成为信号处理领域的一个重要研究方向。许多努力都集中在字典学习算法的发展上,以便有效地执行信号的稀疏表示。本文提出了一种学习依赖于信号的过完备字典的方法。这是通过将信号的稀疏表示作为具有稀疏性约束的矩阵分解问题来实现的。通过对传统坐标下降方法的推广,提出了一种稀疏交替并行坐标下降(SAPCD)算法,该算法通过迭代求解两个最优问题,即字典的学习过程和信号构造系数的估计过程来构建。数值实验表明,该算法的性能优于著名的K-SVD算法和其他几种算法进行比较。
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引用次数: 0
Markerless actor tracking for virtual (TV) studio applications 用于虚拟(电视)演播室应用的无标记演员跟踪
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765544
J. Daemen, Peter Haufs-Brusberg, J. Herder
Virtual (tv) studios gain much more acceptance through improvements in computer graphics and camera tracking. Still commercial studios cannot have full interaction between actors and virtual scene because actors data are not completely digital available as well as the feedback for actors is still not sufficient. Markerless full body tracking might revolutionize virtual studio technology as it allows better interaction between real and virtual world. This article reports about using a markerless actor tracking in a virtual studio with a tracking volume of nearly 40 cubic meter enabling up to three actors within the green box. The tracking is used for resolving the occlusion between virtual objects and actors so that the Tenderer can output automatically a mask for virtual objects in the foreground in case the actor is behind. It is also used for triggering functions scripted within the Tenderer engine, which are attached to virtual objects, starting any kind of action (e.g., animation). Last but not least the system is used for controlling avatars within the virtual set. All tracking and rendering is done within a studio frame rate of 50 Hz with about 3 frames delay. The markerless actor tracking within virtual studios is evaluated by experts using an interview approach. The statistical evaluation is based on a questionnaire.
虚拟(电视)演播室通过计算机图形和摄像机跟踪的改进获得了更多的认可。由于演员数据还没有完全数字化,而且对演员的反馈还不够充分,因此商业工作室无法实现演员与虚拟场景的充分互动。无标记全身跟踪可能会彻底改变虚拟工作室技术,因为它可以更好地在现实世界和虚拟世界之间进行交互。本文报告了如何在一个跟踪体积接近40立方米的虚拟工作室中使用无标记演员跟踪,在绿框内最多可容纳三个演员。跟踪用于解决虚拟物体和演员之间的遮挡,以便在演员在后面的情况下,投标者可以自动输出前景中虚拟物体的遮罩。它还用于触发Tenderer引擎中脚本化的函数,这些函数附加到虚拟对象上,启动任何类型的动作(例如,动画)。最后但并非最不重要的是,该系统用于控制虚拟集合中的角色。所有的跟踪和渲染都是在50 Hz的工作室帧率下完成的,大约有3帧延迟。虚拟工作室中无标记的演员跟踪由专家使用访谈方法进行评估。统计评估是基于问卷调查。
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引用次数: 7
Is autonomy working under unconscious state of sleep? 自主性在无意识睡眠状态下起作用吗?
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765452
M. Nakao, A. Karashima, N. Katayama
Conventionally sleep is understood as an unconscious state in which human and animals are taking rest physically as well as physiologically. However, sleep has been suggested to serve for development and maintenance of the higher-order brain functions as well. Actually neuronal activities show peculiar dynamics to sleep state and some neurons become rather active during sleep than wakefulness. Associated with neuronal activities, molecular and cellular machinery are found to be involved for the functions of sleep. Considering unconsciousness during sleep, neurobiological events characterizing sleep seem to be autonomously regulated. But, are they? In this essay, the neurobiological phenomena during sleep and their possible contribution to the sleep functions are reviewed. In addition, it is examined whether these neurobiological events during unconscious state of sleep are causally regulated or not.
传统上,睡眠被理解为人类和动物在身体和生理上得到休息的一种无意识状态。然而,睡眠也被认为有助于大脑高级功能的发展和维持。实际上,睡眠状态下神经元的活动表现出特殊的动态,有些神经元在睡眠时比清醒时更加活跃。与神经元活动有关的分子和细胞机制被发现参与睡眠的功能。考虑到睡眠中的无意识,表征睡眠的神经生物学事件似乎是自主调节的。但是,真的是这样吗?本文就睡眠中的神经生物学现象及其对睡眠功能的影响作一综述。此外,还研究了无意识睡眠状态下的这些神经生物学事件是否受到因果调节。
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引用次数: 0
The angle coverage algorithm of mobile object in wireless camera sensor networks 无线摄像传感器网络中移动目标的角度覆盖算法
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765477
Hua-Wen Tsai, Jhen-Jhou Jhong, Meng-Ruei Lin
Visual sensor networks offer surveillance applications, particularly object tracking. This study proposed an angle converge algorithm for mobile object to cover all angles of a mobile object in wireless camera sensor networks. This algorithm mainly applies to a security monitor system that can detect the object tracks and need to catch the 360° images of mobile object. This study designs a node selection algorithm to find a set of coverage nodes. The field of views of coverage nodes can cover all angles of mobile object. When the object moves, the set of coverage nodes has to update to maintain full coverage angle. We have to select the minimum number of nodes to cover full coverage angle. The wireless camera sensor network is random deployed in the monitor area environment. Each sensor node has rotational camera lens, and each camera can rotate 360 degrees. When a node detects a mobile object in the monitor area, it starts the tracking task and selects a set of coverage nodes to cover the mobile object. The field of view of camera is turned to follow the tracks of object. The mobile object is monitored by the proposed algorithm.
视觉传感器网络提供监视应用,特别是对象跟踪。提出了一种移动目标的角度收敛算法,以覆盖无线摄像传感器网络中移动目标的所有角度。该算法主要适用于能够检测物体轨迹,需要捕捉移动物体360°图像的安防监控系统。本研究设计了一种节点选择算法来寻找一组覆盖节点。覆盖节点的视场可以覆盖移动物体的所有角度。当目标移动时,覆盖节点集必须更新以保持全覆盖角度。我们必须选择最小数量的节点来覆盖全覆盖角度。无线摄像机传感器网络随机部署在监控区域环境中。每个传感器节点都有旋转摄像机镜头,每个摄像机可以360度旋转。当节点在监控区域检测到移动对象时,启动跟踪任务,并选择一组覆盖节点对移动对象进行覆盖。相机的视场转向跟随物体的轨迹。该算法对移动目标进行监控。
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引用次数: 5
Next Stop Recommender 下一站推荐
Pub Date : 2013-11-01 DOI: 10.1109/ICAwST.2013.6765420
B. Ripley, D. Liu, Maiga Chang, Kinshuk
User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.
用户漫游行为可能包括多次不同顺序的地点访问。研究小组提出了一种算法,可以根据用户之间的行为相似性和地点之间的联系为用户提供下次访问的推荐。为了测试所提出算法的有效性,研究团队开发了Android平台的移动应用程序Next Stop Recommender。本文以app本身为重点,讨论了app的潜在用途以及所提出算法的增强方向。
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引用次数: 2
An innovative application by incorporating RFID technology with current available glucometer 将RFID技术与当前可用的血糖仪相结合的创新应用
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765502
Hui-Yuan Liu, Tsung-Yi Tsai, Tai-Kuei Ren
As technology advances, the application of RFID technology in real life has become a lot wider than before. While embracing such a new era of advanced technology, further development in various fields of expertise will help reducing the cost of labour force, and provide more convenience. Our research has innovative incorporated RFID technology and equipments with glucometer to increase its effectiveness and efficiency. By attaching the RFID tags on the box of glucose testers, and transmit collected data to the glucometer, it has become possible to quickly utilize the data collected by the tags. At the same time the information from the calibration chip can be stored in the tags, making it even more convenient and effective for diabetes patients to apply in real life.
随着技术的进步,RFID技术在现实生活中的应用已经比以前广泛得多。在迎接这样一个先进科技的新时代的同时,各个专业领域的进一步发展将有助于降低劳动力成本,并提供更多便利。我们的研究创新地将RFID技术和设备与血糖仪结合起来,以提高其有效性和效率。通过将RFID标签贴在葡萄糖测试仪的盒子上,并将收集到的数据传输到血糖仪,可以快速利用标签收集到的数据。同时,来自校准芯片的信息可以存储在标签中,使糖尿病患者在现实生活中应用更加方便和有效。
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引用次数: 1
A medical imaging diagnosis supporting method with sound effects 一种具有声音效果的医学影像诊断辅助方法
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765462
Tsuneo Kagawa, Hiroaki Nishino, S. Tanoue, H. Kiyosue, H. Mori
Computer Aided Diagnosis (CAD) has become one of the most important medical activities. Because of development of image processing, large amount of high-definition images are provided to investigate. Radiologists have to cost so much times and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose a method to generate sound information based on the image features and discuss about their effects of sounds for diagnosis. Sonification technique helps for attention rousing and the fatigue reduction for medical imaging diagnosis.
计算机辅助诊断(CAD)已成为最重要的医疗活动之一。由于图像处理技术的发展,为研究提供了大量的高清图像。放射科医生不得不花费大量的时间和精力来调查这些医学图像。强烈要求在不降低影像学诊断质量的情况下减轻他们的负担。本文提出了一种基于图像特征生成声音信息的方法,并讨论了它们对声音诊断的影响。超声技术在医学影像诊断中有助于引起注意,减轻疲劳。
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引用次数: 1
Neurophysiological evidence of the cognitive cycle and the emergence of awareness 认知周期和意识出现的神经生理学证据
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765425
J. Davis, R. Kozma, W. Freeman
As part of the developing body of research about neural correlates of higher cognitive functions and awareness we have recently reported that the creation of knowledge and meaning could be manifested via Cortical Singularities. In this work we present new neurophysiological evidence of the hypothesized cognitive cycle in the emergence of awareness when a presumable meaningful stimuli is presented to an animal. This stimulus is manifested in the neocortex, as the creation of the knowledge necessary for intentional behavior and decision making. The results are interpreted through the concept of Pragmatic Information, which is complementary to the Shannon Entropy Index. We identify large-scale synchronization across broad frequency band as potential manifestation of the `aha' effect, indicating the construction of knowledge and meaning from input sensory data and leading to awareness experience.
作为高级认知功能和意识的神经相关研究的一部分,我们最近报道了知识和意义的创造可以通过皮质奇点表现出来。在这项工作中,我们提出了新的神经生理学证据,证明当假设有意义的刺激呈现给动物时,意识出现的假设认知周期。这种刺激在新皮层中表现为有意识行为和决策所必需的知识的创造。结果通过语用信息的概念来解释,这是对香农熵指数的补充。我们将宽频带上的大规模同步识别为“啊哈”效应的潜在表现,表明从输入的感官数据构建知识和意义并导致意识体验。
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引用次数: 16
Adaptive home surveillance system using HTTP streaming 采用HTTP流的自适应家庭监控系统
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765506
Duc V. Nguyen, Hung T. Le, A. Pham, T. Thang, Jin Young Lee, K. Yun
In this paper, we investigate the use of HTTP streaming in home surveillance system. First, we propose a dynamic resource allocation framework among the cameras. Under a set of constraints, e.g. link bandwidth and delay, our resource allocation solution decides which video versions will be requested from which cameras in order to maximize the weighted sum of utility for all cameras. The optimization, which is performed at the client, is based on a utility model for each video stream that takes into account not only perceptual quality but also the delay of a video stream. Video content is obtained through HTTP request/response transaction between the client and the cameras. The experiment results show that the proposed method is able to effectively improve the overall utility while still supporting low end-to-end delay and good perceptual quality for important cameras.
本文研究了HTTP流在家庭监控系统中的应用。首先,我们提出了一个动态资源分配框架。在一组约束条件下,例如链路带宽和延迟,我们的资源分配方案决定从哪个摄像机请求哪个视频版本,以便最大化所有摄像机的加权效用总和。在客户端执行的优化基于对每个视频流的实用新型,该实用新型不仅考虑了视频流的感知质量,而且还考虑了视频流的延迟。视频内容是通过客户端与摄像机之间的HTTP请求/响应事务获取的。实验结果表明,该方法能够有效地提高整体效用,同时仍然支持低端到端延迟和重要摄像机的良好感知质量。
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引用次数: 9
Backpropagation neural network model for detecting artificial emotions with color 带有颜色的人工情绪检测的反向传播神经网络模型
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765479
Min-Feng Lee, Guey-Shya Chen
Nowadays, emotion is leaded into a key position of human behavior clue, and hence it should be included within the sensible model when an intelligent system aims to simulate or forecast human responses. This research utilizes backpropagation one of neural network model to build the emotion detecting mechanism. This research integrates and manipulates the Thayer's emotion mode, Fuzzy Cognitive Maps and color theory into the backpropagation neural network model for an innovative emotion detecting system. This paper uses 100 data in four emotion groups to train the weight in the neural network and use 300 data to verify the accuracy in this system. The result reveals that backpropagation neural network can be effective estimation the emotion by feedback color from human. For the further research, colors will not the only human behavior clues, even more than all the factors from human interaction.
如今,情感被引入到人类行为线索的关键位置,因此,当智能系统旨在模拟或预测人类的反应时,应该将情感纳入到感知模型中。本研究利用神经网络模型中的反向传播模型来构建情感检测机制。本研究将Thayer的情绪模式、模糊认知地图和色彩理论整合并运用到反向传播神经网络模型中,构建了一种创新的情绪检测系统。本文使用四个情绪组的100个数据来训练神经网络中的权重,并使用300个数据来验证该系统的准确性。结果表明,反向传播神经网络可以有效地根据人的反馈颜色对情绪进行估计。对于进一步的研究,颜色将不再是人类行为的唯一线索,甚至超过所有来自人类互动的因素。
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引用次数: 5
期刊
炎黄地理
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