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NIPS
2000
13 years 10 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
PRL
2006
117views more  PRL 2006»
13 years 9 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
ACCV
2009
Springer
14 years 1 months ago
Fingerspelling Recognition through Classification of Letter-to-Letter Transitions
Abstract. We propose a new principle for recognizing fingerspelling sequences from American Sign Language (ASL). Instead of training a system to recognize the static posture for ea...
Susanna Ricco, Carlo Tomasi
KDD
2001
ACM
195views Data Mining» more  KDD 2001»
14 years 9 months ago
Multimedia Data Mining for Traffic Video Sequences
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jef...
EVENT
2001
267views more  EVENT 2001»
13 years 10 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah