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» Data mining for activity extraction in video data
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NIPS
2008
15 years 8 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
KDD
2006
ACM
139views Data Mining» more  KDD 2006»
16 years 7 months ago
Generating semantic annotations for frequent patterns with context analysis
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Che...
CVPR
2001
IEEE
16 years 8 months ago
Gait Recognition Using Static, Activity-Specific Parameters
A gait-recognition technique that recovers static body and stride parameters of subjects as they walk is presented. This approach is an example of an activity-specific biometric: ...
Aaron F. Bobick, Amos Y. Johnson
ICIAP
2009
ACM
16 years 7 months ago
Towards a Subject-Centered Analysis for Automated Video Surveillance
In a typical video surveillance framework, a single camera or a set of cameras monitor a scene in which human activities are carried out. In this paper, we propose a complementary ...
Michela Farenzena, Loris Bazzani, Vittorio Murino,...
ISCAS
2008
IEEE
173views Hardware» more  ISCAS 2008»
16 years 28 days ago
Analysis of video filtering on the cell processor
— In this paper an analysis of bi-dimensional video filtering on the Cell Broadband Engine Processor is presented. To evaluate the processor, a highly adaptive filtering algori...
Arnaldo Azevedo, Cor Meenderinck, Ben H. H. Juurli...