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CVPR
2005
IEEE
14 years 10 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
14 years 21 days ago
Multiple Cues used in Model-Based Human Motion Capture
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Thomas B. Moeslund, Erik Granum
ECCV
2008
Springer
14 years 10 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
ROMAN
2007
IEEE
100views Robotics» more  ROMAN 2007»
14 years 2 months ago
Human- and Situation-Aware People Following
— The paper presents an approach to intelligent, interactive people following for autonomous robots. The approach combines robust methods for simultaneous localization and mappin...
Hendrik Zender, Patric Jensfelt, Geert-Jan M. Krui...
ICPR
2008
IEEE
14 years 9 months ago
Recognizing actions from still images
In this paper, we approach the problem of understanding human actions from still images. Our method involves representing the pose with a spatial and orientational histogramming o...
Nazli Ikizler, Pinar Duygulu, Ramazan Gokberk Cinb...