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ICPR
2000
IEEE
16 years 7 months ago
Tracking Humans from a Moving Platform
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
HIP
2005
Springer
208views Cryptology» more  HIP 2005»
16 years 1 days ago
Phish and HIPs: Human Interactive Proofs to Detect Phishing Attacks
In this paper, we propose a new class of Human Interactive Proofs (HIPs) that allow a human to distinguish one computer from another. Unlike traditional HIPs, where the computer is...
Rachna Dhamija, J. D. Tygar
CCGRID
2005
IEEE
16 years 5 days ago
Enabling technologies for future learning scenarios: the semantic grid for human learning
In this paper, starting from the limitations and constrains of traditional human learning approaches, we outline new suitable approaches to education and training in future knowle...
Angelo Gaeta, Pierluigi Ritrovato, Francesco Orciu...
CVPR
2011
IEEE
15 years 3 months ago
Learning Effective Human Pose Estimation from Inaccurate Annotation
The task of 2-D articulated human pose estimation in natural images is extremely challenging due to the high level of variation in human appearance. These variations arise from di...
Sam Johnson, Mark Everingham
ICPR
2008
IEEE
16 years 29 days ago
Human activity recognition from frame's spatiotemporal representation
This paper presents an approach for human activity recognition by representing the frames of the video sequence with the distribution of local motion features and their spatiotemp...
Zhipeng Zhao, Ahmed M. Elgammal