Name
Title | ||
|---|---|---|
Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model |
Abstract | ||
|---|---|---|
This paper considers the problem of multiple human target tracking in a sequence of video data. A solution is proposed which is able to deal with the challenges of a varying number of targets, interactions, and when every target gives rise to multiple measurements. The developed novel algorithm comprises variational Bayesian clustering combined with a social force model, integrated within a particle filter with an enhanced prediction step. It performs measurement-to-target association by automatically detecting the measurement relevance. The performance of the developed algorithm is evaluated over several sequences from publicly available data sets: AV16.3, CAVIAR, and PETS2006, which demonstrates that the proposed algorithm successfully initializes and tracks a variable number of targets in the presence of complex occlusions. A comparison with state-of-the-art techniques due to Khan , Laet , and Czyz shows improved tracking performance. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TSP.2015.2504340 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Target tracking,Force,Mathematical model,Clustering algorithms,Dynamics,Signal processing algorithms,Bayes methods | Computer vision,Cluster (physics),Data set,Multi target tracking,Social force model,Computer science,Particle filter,Artificial intelligence,Cluster analysis,Signal processing algorithms,Bayesian probability | Journal |
Volume | Issue | ISSN |
64 | 5 | 1053-587X |
Citations | PageRank | References |
6 | 0.44 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ata- ur-Rehman | 1 | 14 | 1.64 |
| Syed Mohsen Naqvi | 2 | 417 | 55.49 |
| Lyudmila Mihaylova | 3 | 623 | 75.41 |
| Jonathon A. Chambers | 4 | 56 | 6.96 |