Simplified Multitarget Tracking Using the PHD Filter for Microscopic Video Data
The probability hypothesis density (PHD) filter from the theory of random finite sets is a well-known method for multitarget tracking. We present the Gaussian mixture (GM) and improved sequential Monte Carlo implementations of the PHD filter for visual tracking. These implementations are shown to pr...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
2012
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