3D Shape-Encoded Particle Filter for Object Tracking and Its Application to Human Body Tracking
We present a nonlinear state estimation approach using particle filters, for tracking objects whose approximate 3D shapes are known. The unnormalized conditional density for the solution to the nonlinear filtering problem leads to the Zakai equation, and is realized by the weights of the particles....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2008-03-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://dx.doi.org/10.1155/2008/596989 |