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» Learning and Recognizing Human Dynamics in Video Sequences
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ICCV
2003
IEEE
15 years 11 months ago
View-invariant Alignment and Matching of Video Sequences
In this paper, we propose a novel method to establish temporal correspondence between the frames of two videos. 3D epipolar geometry is used to eliminate the distortion generated ...
Cen Rao, Alexei Gritai, Mubarak Shah, Tanveer Fath...
ICCV
2011
IEEE
13 years 9 months ago
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
John See, Chikkannan Eswaran
78
Voted
ICIP
2000
IEEE
15 years 11 months ago
Higher-Order Spectral Analysis of Human Motion
We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends ...
A. N. Rajagopalan, Rama Chellappa
76
Voted
CVPR
2001
IEEE
15 years 11 months ago
Recognition of Human Gaits
We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented. Established techniques are employed to track a k...
Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Ste...
ICPR
2008
IEEE
15 years 4 months ago
Pose sentences: A new representation for action recognition using sequence of pose words
We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word ...
Kardelen Hatun, Pinar Duygulu