Results 1 - 10 of 5,747

Action recognition in the premotor cortex

by Vittorio Gallese, Luciano Fadiga, Leonardo Fogassi, Giacomo Rizzolatti - Brain , 1996
"... We recorded electrical activity from 532 neurons in the rostral part of inferior area 6 (area F5) of two macaque monkeys. Previous data had shown that neurons of this area discharge during goal-directed hand and mouth movements. We describe here the properties of a newly discovered set of F5 neurons ..."
Abstract - Cited by 671 (47 self) - Add to MetaCart
neurons ('mirror neurons', n = 92) all of which became active both when the monkey performed a given action and when it observed a similar action performed by the experimenter. Mirror neurons, in order to be visually triggered, required an interaction between the agent of the action

Learning realistic human actions from movies

by Ivan Laptev, Marcin Marszałek, Cordelia Schmid, Benjamin Rozenfeld - IN: CVPR. , 2008
"... The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in the past due to several problems one of which is the lack of realistic and annotated video datasets. Our first contribut ..."
Abstract - Cited by 738 (48 self) - Add to MetaCart
contribution is to address this limitation and to investigate the use of movie scripts for automatic annotation of human actions in videos. We evaluate alternative methods for action retrieval from scripts and show benefits of a text-based classifier. Using the retrieved action samples for visual learning, we

Digital Game-Based Learning

by Marc Prensky
"... [Green and Bavelier, 2003] has grabbed national attention for suggesting that playing “action ” video and computer games has the positive effect of enhancing students ’ visual selective attention. But that finding is just one small part of a more important message that all parents and educators need ..."
Abstract - Cited by 539 (0 self) - Add to MetaCart
[Green and Bavelier, 2003] has grabbed national attention for suggesting that playing “action ” video and computer games has the positive effect of enhancing students ’ visual selective attention. But that finding is just one small part of a more important message that all parents and educators

The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs

by William Ft. Softky, Christof Koch - Journal of Neuroscience , 1993
"... How random is the discharge pattern of cortical neurons? We examined recordings from primary visual cortex (Vl; Knierim and Van Essen, 1992) and extrastriate cortex (MT; Newsome et al., 1989a) of awake, behaving macaque mon-key and compared them to analytical predictions. For non-bursting cells firi ..."
Abstract - Cited by 457 (11 self) - Add to MetaCart
How random is the discharge pattern of cortical neurons? We examined recordings from primary visual cortex (Vl; Knierim and Van Essen, 1992) and extrastriate cortex (MT; Newsome et al., 1989a) of awake, behaving macaque mon-key and compared them to analytical predictions. For non-bursting cells

Mining visual actions from movies

by Adrien Gaidon, Marcin Marszałek, Cordelia Schmid
"... This paper presents an approach for mining visual actions from real-world videos. Given a large number of movies, we want to automatically extract short video sequences corresponding to visual human actions. First, we find commonly occurring actions by mining verbs extracted from movie transcripts. ..."
Abstract - Cited by 8 (2 self) - Add to MetaCart
This paper presents an approach for mining visual actions from real-world videos. Given a large number of movies, we want to automatically extract short video sequences corresponding to visual human actions. First, we find commonly occurring actions by mining verbs extracted from movie transcripts

Mining visual actions from movies

by Adrien Gaidon, Marcin Marszałek, Cordelia Schmid , 2009
"... This paper presents an approach for mining visual actions from real-world videos. Given a large number of movies, we want to automatically extract short video sequences corresponding to visual human actions. First, we find commonly occurring actions by mining verbs extracted from movie transcripts. ..."
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This paper presents an approach for mining visual actions from real-world videos. Given a large number of movies, we want to automatically extract short video sequences corresponding to visual human actions. First, we find commonly occurring actions by mining verbs extracted from movie transcripts

Segmenting visual actions based on spatio-temporal motion patterns

by Yong Rui, P. An - In IEEE Conference on Computer Vision and Pattern Recognition , 2000
"... The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of action or activity recognition, but ignored the problem of detecting action boundaries in a video sequence containing unfamil ..."
Abstract - Cited by 56 (0 self) - Add to MetaCart
unfamiliar and arbitrary visual actions. This paper presents an approach to this problem based on detecting temporal discontinuities of the spatial pattern of image motion that captures the action. We represent frame to frame optical-flow in terms of the coefficients of the most significant principal

Movement Datasets and Consistency Studies for Visual Action Recognition

by unknown authors , 2012
"... Abstract. Computer vision is making rapid progress fueled by machine learning and large-scale annotated datasets. While the ultimate visual recognition result – the label of an image or a video, the layout of an object and its category – is currently the main target of annotation, in this technical ..."
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report we complement existing state-of-the art large-scale dynamic computer vision datasets like Hollywood-2[1] and UCF Sports[2] with human eye movements collected under the ecological constraints of the visual action recognition task. To our knowledge these are the first massive human eye tracking

Visualizing the non-visual: spatial analysis and interaction with information from test documents

by James A. Wise, James J. Thomas, Kelly Pennock, David Lantrip, Marc Pottier, Anne Schur, Vern Crow - In R. Baeza-Yates & B. Ribeiro-Neto (Eds.), Modern information retrieval , 1999
"... This paper describes an approach to IV that involves spatializing text content for enhanced visual browsing and analysis. The application arena is large text document corpora such as digital libraries, regulations andprocedures, archived reports, etc. The basic idea is that text content from these s ..."
Abstract - Cited by 303 (6 self) - Add to MetaCart
This paper describes an approach to IV that involves spatializing text content for enhanced visual browsing and analysis. The application arena is large text document corpora such as digital libraries, regulations andprocedures, archived reports, etc. The basic idea is that text content from

Putting Actions in Context: Visual Action Adaptation Aftereffects Are Modulated by Social Contexts

by Stephan De La Rosa, Stephan Streuber, Martin Giese, Heinrich H. Bülthoff , 2013
"... The social context in which an action is embedded provides important information for the interpretation of an action. Is this social context integrated during the visual recognition of an action? We used a behavioural visual adaptation paradigm to address this question and measured participants ’ pe ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
The social context in which an action is embedded provides important information for the interpretation of an action. Is this social context integrated during the visual recognition of an action? We used a behavioural visual adaptation paradigm to address this question and measured participants
Results 1 - 10 of 5,747