Name
Abstract | ||
|---|---|---|
We present an unsupervised tracking algorithm for human and car trajectory detection, using what is called the temporal doubly stochastic Dirichlet process (TDSDP) mixture model. The TDSDP captures the global dependence and the variation of human crowds and cars in temporal domains without the Markov assumption, making it particularly suitable for long-term tracking. Moreover, TDSDP prior can esti... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TITS.2016.2518212 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Hidden Markov models,Trajectory,Mixture models,Vehicles,Computational modeling,Feature extraction,Markov processes | Latent Dirichlet allocation,Dirichlet process,Markov process,Markov property,Pattern recognition,Video tracking,Cox process,Artificial intelligence,Hidden Markov model,Mixture model,Mathematics | Journal |
Volume | Issue | ISSN |
17 | 9 | 1524-9050 |
Citations | PageRank | References |
3 | 0.38 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sun Xing | 1 | 33 | 10.94 |
| Nelson H. C. Yung | 2 | 274 | 20.99 |
| edmund y lam | 3 | 683 | 69.87 |