A PSO based adaboost approach to object detection
This paper describes a new approach using particle swarm optimisation (PSO) within AdaBoost for object detection. Instead of using the time consuming exhaustive search for finding good features to be used for constructing weak classifiers in AdaBoost, we propose two PSO based methods in this paper....
Main Authors: | , , |
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Format: | Others |
Published: |
Springer Verlag,
2012-04-02T03:41:28Z.
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Subjects: | |
Online Access: | Get fulltext |