50 search results - page 2 / 10 » Learning Complex and Sparse Events in Long Sequences |
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
TIP
2008
13 years 6 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...