Jay Warrior

Bio: Jay Warrior is an academic researcher from Agilent Technologies. The author has contributed to research in topics: Visual sensor network & Wireless sensor network. The author has an hindex of 3, co-authored 4 publications receiving 1046 citations.

Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks

Abstract: Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena. To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.

Cyclops: in situ image sensing and interpretation in wireless sensor networks

Abstract: Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena.To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.

Cyclops, image sensing and interpretation in wireless networks

Abstract: Technological progress in integrated, low power CMOS imaging [1] and maturing low power wireless sensor network platforms, motivate a new and rich design space exploiting in network dense imaging. In particular, by combining comparably low power CMOS cameras and low power wireless sensor nodes, and implementing on board compression and image analysis techniques, we can greatly enhance the application of dense wireless sensor networks to phenomena that are most readily observed in the optical domain. In this demonstration we will introduce Cyclops. Cyclops (see Figure 1) is a joint project between Agilent Technology and the Center for Embedded Networked Sensing (CENS). It is a low power CMOS imager with a local frame grabber and local computation. It behaves like a sensor for a host and can do local computation and inference, acting as a more capable sensor. Inference can be based on a color histogram, statistical characteristics of images, or a hypothesis such as the existence of motion or a specific template in the scene. The demonstration will showcase the functionality of the first generation of Cyclops, including low duty cycle image capture and participation in a sensor network via an attached Crossbow Mica2.Performance studies will also be presented, along with outstanding challenges and foreseeable opportunities.

Demo Abstract: Network of Cyclops; Image Inference and Interpretation in Sensor Network

Abstract: Recent technological progress in integrated low power CMOS based imaging devices has led to new type of sensors such as Cyclops. Cyclops is a CMOS image sensor, with reduced complexity and power that allows it to mate with typical sensor network nodes such as Motes. This motivates a new class of sensor networks which exploit vision. In this demonstration we introduce a network of Motes that carry Cyclops sensors. In this network, each individual node can be programmed to perform specific operation on the image. These operations include detecting objects in the scene, detecting edges, reporting histogram of the image, getting the image across the network or getting only particular region of interest. The demonstration showcases the functionality of our network to detect objects. Each node in the network is programmed to detect presence of the objects in its field of view. In addition, users can request the whole image or particular region of interest which the presence of the object has been detected. Performance studies as well as architectural choices will be presented along with outstanding challenges and opportunities.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Energy conservation in wireless sensor networks: A survey

Abstract: In the last years, wireless sensor networks (WSNs) have gained increasing attention from both the research community and actual users. As sensor nodes are generally battery-powered devices, the critical aspects to face concern how to reduce the energy consumption of nodes, so that the network lifetime can be extended to reasonable times. In this paper we first break down the energy consumption for the components of a typical sensor node, and discuss the main directions to energy conservation in WSNs. Then, we present a systematic and comprehensive taxonomy of the energy conservation schemes, which are subsequently discussed in depth. Special attention has been devoted to promising solutions which have not yet obtained a wide attention in the literature, such as techniques for energy efficient data acquisition. Finally we conclude the paper with insights for research directions about energy conservation in WSNs.

Wireless multimedia sensor networks: A survey

Abstract: In recent years, the growing interest in the wireless sensor network (WSN) has resulted in thousands of peer-reviewed publications. Most of this research is concerned with scalar sensor networks that measure physical phenomena, such as temperature, pressure, humidity, or location of objects that can be conveyed through low-bandwidth and delay-tolerant data streams. Recently, the focus is shifting toward research aimed at revisiting the sensor network paradigm to enable delivery of multimedia content, such as audio and video streams and still images, as well as scalar data. This effort will result in distributed, networked systems, referred to in this paper as wireless multimedia sensor networks (WMSNs). This article discusses the state of the art and the major research challenges in architectures, algorithms, and protocols for wireless multimedia sensor networks. Existing solutions at the physical, link, network, transport, and application layers of the communication protocol stack are investigated. Finally, fundamental open research issues are discussed, and future research trends in this area are outlined.