| 摘要 |
A method and system for object tracking in computer vision. The tracked object is recognized from an image that has been acquired with the camera of the computer vision system. The image is processed by randomly generating samples in the search space and then computing fitness functions. Regions of high fitness attract more samples. Computations may be stored into a tree structure. The method provides efficient means for sampling from a very peaked probability density function that can be expressed as a product of factor functions.
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