Results 1 - 10 of 11,098

Learning Patterns of Activity Using Real-Time Tracking

by Chris Stauffer, W. Eric L. Grimson - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... Our goal is to develop a visual monitoring system that passively observes moving objects in a site and learns patterns of activity from those observations. For extended sites, the system will require multiple cameras. Thus, key elements of the system are motion tracking, camera coordination, activit ..."
Abstract - Cited by 898 (10 self) - Add to MetaCart
, activity classification, and event detection. In this paper, we focus on motion tracking and show how one can use observed motion to learn patterns of activity in a site. Motion

W4: Real-time surveillance of people and their activities

by Ismail Haritaoglu, David Harwood, Larry S. Davis - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2000
"... w4 is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in an outdoor environment. It operates on monocular gray-scale video imagery, or on video imagery from an infrared camera. W4 employs a combination of shape analysis and tracking t ..."
Abstract - Cited by 709 (9 self) - Add to MetaCart
w4 is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in an outdoor environment. It operates on monocular gray-scale video imagery, or on video imagery from an infrared camera. W4 employs a combination of shape analysis and tracking

Data networks

by L. Verger G, E. Gros D'aillon G, P. Major H, G. Németh H , 1992
"... a b s t r a c t In this paper we illustrate the core technologies at the basis of the European SPADnet project (www. spadnet.eu), and present the corresponding first results. SPADnet is aimed at a new generation of MRI-compatible, scalable large area image sensors, based on CMOS technology, that are ..."
Abstract - Cited by 2210 (5 self) - Add to MetaCart
, that are networked to perform gamma-ray detection and coincidence to be used primarily in (Time-of-Flight) Positron Emission Tomography (PET). The project innovates in several areas of PET systems, from optical coupling to single-photon sensor architectures, from intelligent ring networks to reconstruction

Predictive reward signal of dopamine neurons

by Wolfram Schultz - Journal of Neurophysiology , 1998
"... Schultz, Wolfram. Predictive reward signal of dopamine neurons. is called rewards, which elicit and reinforce approach behav-J. Neurophysiol. 80: 1–27, 1998. The effects of lesions, receptor ior. The functions of rewards were developed further during blocking, electrical self-stimulation, and drugs ..."
Abstract - Cited by 747 (12 self) - Add to MetaCart
environmental stimuli with appe- Despite their importance, rewards do not influence the brain titive value, predict and detect rewards and signal alerting and motivating events. By failing to discriminate between different

Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

by S Ogawa , T M Lee , A R Kay , D W Tank - Proc. Natl. Acad. Sci. USA , 1990
"... ABSTRACT Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradient-echo techniques in high fields, we demonstrate in vivo images of brain microvasculature with imag ..."
Abstract - Cited by 648 (1 self) - Add to MetaCart
) the concentration of paramagnetic deoxyhemoglobin and (ii) the orientation of the vessel relative to the main magnetic field (8, 9). Since BOLD contrast depends on the state of blood oxygenation, physiological events that change the oxy/ deoxyhemoglobin ratio should lend themselves to noninvasive detection through

The Computational Brain.

by P S Churchland , T J Sejnowski , Bruce Bridgeman , 1994
"... Keywords: reductionism, neural networks, distributed coding, Karl Pribram, computational neuroscience, receptive field 1.1 The broad goal of this book, expressed at the start, is ``to understand how neurons give rise to a mental life.'' A mental reductionism is assumed in this seductively ..."
Abstract - Cited by 450 (7 self) - Add to MetaCart
of single-cell recording methods. The problem is that millions of neurons participate in every behaviorally meaningful activity, but we normally record from only one neuron at a time, or at best a handful. The temptation is great to overestimate the one-millionth sample obtained from a single neuron

Human DNA methylomes at base resolution show widespread epigenomic differences.

by Ryan Lister , Mattia Pelizzola , Robert H Dowen , R David Hawkins , Gary Hon , Julian Tonti-Filippini , Joseph R Nery , Leonard Lee , Zhen Ye , Que-Minh Ngo , Lee Edsall , Jessica Antosiewicz-Bourget , Ron Stewart , Victor Ruotti , A Harvey Millar , James A Thomson , Bing Ren , Joseph R Ecker - Nature, , 2009
"... DNA cytosine methylation is a central epigenetic modification that has essential roles in cellular processes including genome regulation, development and disease. Here we present the first genome-wide, single-base-resolution maps of methylated cytosines in a mammalian genome, from both human embryo ..."
Abstract - Cited by 401 (6 self) - Add to MetaCart
DNA cytosine methylation is a central epigenetic modification that has essential roles in cellular processes including genome regulation, development and disease. Here we present the first genome-wide, single-base-resolution maps of methylated cytosines in a mammalian genome, from both human

An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks

by Seema Bandyopadhyay, Edward J. Coyle , 2003
"... A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data collected by each sensor is communicated through the network to a single processing center that uses all reported data to de ..."
Abstract - Cited by 390 (1 self) - Add to MetaCart
to determine characteristics of the environment or detect an event. The communication or message passing process must be designed to conserve the Hmited energy resources of the sensors. Clustering sensors into groups, so that sensors communicate information only to clusterheads and then the clusterheads

the review on

by Manoj Kumar Pandey, Æ Reena Rani, Æ Suraksha Agrawal, Immunotherapy Æ Immunoglobulin (ivig - D0 −D0 Mixing” in this Review
"... Abstract Recurrent spontaneous abortion (RSA) is de-fined as three or more consecutive pregnancy losses prior to the 20th week of gestation. The etiology of recurrent spontaneous abortion is often unclear and may be multifactorial, with much controversy regarding diag-nosis and treatment. Reasonably ..."
Abstract - Cited by 361 (4 self) - Add to MetaCart
. Reasonably accepted etiologic causes include, genetics, anatomical, endocrine, placen-tal anomalies, hormonal problems, infection, smoking and alcohol consumption, exposure to environmental factors, psychological trauma and stressful life event, certain coagulation and immunoregulatory protein de

Recognition of visual activities and interactions by stochastic parsing

by Yuri A. Ivanov, Aaron F. Bobick - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. The fundamental idea is to divide the recognition problem into two levels. The lower level detections are performed using standard inde ..."
Abstract - Cited by 322 (8 self) - Add to MetaCart
This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. The fundamental idea is to divide the recognition problem into two levels. The lower level detections are performed using standard
Results 1 - 10 of 11,098