Innovative unscented transform–based particle cardinalized probability hypothesis density filter for multi-target tracking
Multi-target tracking is widely applied in video surveillance systems. As we know, although the standard particle cardinalized probability hypothesis density filter can estimate state of targets, it is difficult to define the proposal distribution function in prediction stage. Since the robust parti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019877494 |