Name
Abstract | ||
|---|---|---|
We investigate the unsupervised K-means clustering and the semi-supervised hidden Markov model (HMM) to automatically detect anomalous motion patterns in groups of people (crowds). Anomalous motion patterns are typically people merging into a dense group, followed by disturbances or threatening situations within the group. The application of K-means clustering and HMM are illustrated with datasets... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSTSP.2013.2237882 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Hidden Markov models,Clustering algorithms,Surveillance,Optical filters,Pattern recognition,Merging,Algorithm design and analysis | Crowds,Computer vision,Pattern recognition,Computer science,Pattern clustering,Artificial intelligence,Merge (version control),Cluster analysis,Hidden Markov model,Machine learning | Journal |
Volume | Issue | ISSN |
7 | 1 | 1932-4553 |
Citations | PageRank | References |
7 | 0.46 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Andersson | 1 | 22 | 3.35 |
| Fredrik Gustafsson | 2 | 2287 | 281.33 |
| Louis St-Laurent | 3 | 12 | 1.89 |
| Donald Prévost | 4 | 25 | 3.62 |