Real-Time Tracking via On-line Boosting

@inproceedings{Grabner2006RealTimeTV,
  title={Real-Time Tracking via On-line Boosting},
  author={H. Grabner and Michael Grabner and H. Bischof},
  booktitle={BMVC},
  year={2006}
}
Very recently tracking was approached using classification techniques such as support vector machines. The object to be tracked is discriminated by a classifier from the background. In a similar spirit we propose a novel on-line AdaBoost feature selection algorithm for tracking. The distinct advantage of our method is its capability of on-line training. This allows to adapt the classifier while tracking the object. Therefore appearance changes of the object (e.g. out of plane rotations… Expand
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