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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