Research Article
Tracking Objects Based on Multiple Particle Filters for Multipart Combined Moving Directions Information
| | Step 1: Initialize N-particles set | | | Step 2: | | | for i = 1 to n do | | | Beginfor | | | Take patern for part i according to Algorithm 4. | | | Train strong classification according to Algorithm 5. | | | Endfor | | | Step 3: | | | while The video is not over do | | | Beginwhile | | | Get observation photos obs | | | for i = 1 to n do | | | Beginfor | | | Use particle filter to estimate the ith state according to Algorithm 1 or Algorithm 2 | | | | | | Measure the distance: | | | Endfor | | | Choose the best part | | | Using center part and structure H perform rotation of the remaining n − 1 centers. | | | Tranlate n − 1 other particle set to n − 1 has just been centered on . | | | Scale the particle sets according to the structure ratio H. | | | Translating n − 1 set of other particles toward the part . | | | for i = 1 to n do | | | Beginfor | | | Take a new sample based on the new section rotated from . | | | Update strong classification according to Algorithm 6 | | | Endfor | | | Endwhile |
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