Name
Abstract | ||
|---|---|---|
In this paper we present robust statistical methods for segmentation and preprocessing of time-multiplexed videos. We will present hidden Markov and hidden semi-Markov model based real-time detectors and their usage for video segmentation and anomalous event detection. We demonstrate the high performance of our detectors with real-life outdoor videos from low-quality cameras. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/AVSS.2009.73 | AVSS |
Keywords | Field | DocType |
hidden Markov models,image segmentation,video surveillance,anomalous event detection,hidden semi-Markov model,time-multiplexed security videos,video preprocessing,video segmentation | Computer vision,Pattern recognition,Computer science,Segmentation,Image segmentation,Preprocessor,Artificial intelligence,Multiplexing,Hidden Markov model,Detector,Hidden semi-Markov model | Conference |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ákos Utasi | 1 | 49 | 6.40 |
| László Czuni | 2 | 68 | 13.41 |