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Learning and Recognizing Human Dynamics in Video Sequences

by Christoph Bregler , 1997
"... This paper describes a probabilistic decomposition of human dynamics at multiple abstractions, and shows how to propagate hypotheses across space, time, and abstraction levels. Recognition in this framework is the succession of very general low level grouping mechanisms to increased specific and lea ..."
Abstract - Cited by 356 (2 self) - Add to MetaCart
of learning and recognizing human and other biological movements in video sequences of an unconstrai...

Extraction of High-Resolution Frames from Video Sequences

by Richard R. Schultz, Robert L. Stevenson - IEEE Transactions on Image Processing , 1996
"... The human visual system appears to be capable of temporally integrating information in a video sequence in such a way that the perceived spatial resolution of a sequence appears much higher than the spatial resolution of an individual frame. While the mechanisms in the human visual system which do t ..."
Abstract - Cited by 264 (8 self) - Add to MetaCart
The human visual system appears to be capable of temporally integrating information in a video sequence in such a way that the perceived spatial resolution of a sequence appears much higher than the spatial resolution of an individual frame. While the mechanisms in the human visual system which do

Image segmentation in video sequences: A probabilistic approach

by Nir Friedman, Stuart Russell , 1997
"... "Background subtraction" is an old technique for finding moving objects in a video sequence---for example, cars driving on a freeway. The idea is that subtracting the current image from a time-averaged background image will leave only nonstationary objects. It is, however, a crude approxim ..."
Abstract - Cited by 256 (0 self) - Add to MetaCart
"Background subtraction" is an old technique for finding moving objects in a video sequence---for example, cars driving on a freeway. The idea is that subtracting the current image from a time-averaged background image will leave only nonstationary objects. It is, however, a crude

Video Sequences by

by Massachusetts Ins Iyj E, Glorianna Davenpot, V Stephea A. Benton, David Josi Tames, David Josi Tamds , 1996
"... Cinema is a stream of audio and visual elements orchestrated in time providing us with a rich language and tradition of sto-rytelling. New media technologies, particularly structured video, open up possibilities to expand and evolve the language of cinema and establish new modes of content delivery. ..."
Abstract - Add to MetaCart
Cinema is a stream of audio and visual elements orchestrated in time providing us with a rich language and tradition of sto-rytelling. New media technologies, particularly structured video, open up possibilities to expand and evolve the language of cinema and establish new modes of content delivery

Video Sequences

by Porikli F , 2004
"... We propose a real-time object segmentation method for MPEG encoded video. Computational superiority is the main advantage of compressed domain processing. We exploit the macro-block structure of the encoded video to decrease the spatial resolution of the processed data, which ex-ponentially reduces ..."
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We propose a real-time object segmentation method for MPEG encoded video. Computational superiority is the main advantage of compressed domain processing. We exploit the macro-block structure of the encoded video to decrease the spatial resolution of the processed data, which ex-ponentially reduces

IN VIDEO SEQUENCES

by Prof Dr, Kemal Leblebicioglu
"... ii I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not the original work. ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
ii I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not the original work.

K.: Adaptive shadow identification through automatic parameter estimation in video sequences

by Scott Tattersall, Kenneth Dawson-howe - In: Irish Machine Vision and Image Processing Conference (IMVIP 2003 , 2003
"... in video sequences ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
in video sequences

Label propagation in video sequences

by Vijay Badrinarayanan, Fabio Galasso, Roberto Cipolla , 2010
"... This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of hand labelled pixels, typically the start and end frames of a chunk of video, an EM based algorithm propagates labels thr ..."
Abstract - Cited by 18 (4 self) - Add to MetaCart
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of hand labelled pixels, typically the start and end frames of a chunk of video, an EM based algorithm propagates labels

Content-based browsing of video sequences

by F. Arman, R. Depommier, A. Hsu, M-y. Chiu - In ACM Multimedia. ACM , 1994
"... A novel methodology to represent the contents of a video sequence is presented. The representation is used to allow the user to rapidly view a video sequence in order to find a particular point within the sequence ad/or to decide whether the contents of the sequence are relevant to his or her needs. ..."
Abstract - Cited by 93 (0 self) - Add to MetaCart
A novel methodology to represent the contents of a video sequence is presented. The representation is used to allow the user to rapidly view a video sequence in order to find a particular point within the sequence ad/or to decide whether the contents of the sequence are relevant to his or her needs

Crowd Detection in Video Sequences

by Pini Reisman , Ofer Mano, Shai Avidan, Amnon Shashua - IN IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV2004 , 2004
"... We present a real-time system that detects moving crowd in a video sequence. Crowd detection differs from pedestrian detection in that we assume that no individual pedestrian can be properly segmented in the image. We propose a scheme that looks at the motion patterns of crowd in the spatio-temporal ..."
Abstract - Cited by 22 (2 self) - Add to MetaCart
We present a real-time system that detects moving crowd in a video sequence. Crowd detection differs from pedestrian detection in that we assume that no individual pedestrian can be properly segmented in the image. We propose a scheme that looks at the motion patterns of crowd in the spatio
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