Computer Science ›› 2015, Vol. 42 ›› Issue (7): 309-313.doi: 10.11896/j.issn.1002-137X.2015.07.066

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Image Object Detection Based on SC-AdaBoost

ZHANG Zhao-hui, LIU Yong-xia and LEI Qian   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Although AdaBoost-based object detection from image/video dada holds the characteristics of good detection precision and high detection speed,the training procedure is much more slowly especially when the number of both samples and feature dimensionality is high.With the aim of efficiently improving the training performance,this paper proposed an algorithm called SC-AdaBoost.Experimental results for car detection based on VOC2006 datasets show that when the number of training samples is very large,the proposed algorithm can evidently reduce the whole training time without loss of detection performance.

Key words: Training set shrinking,SC-AdaBoost algorithm,Support vector machines,AdaBoost algorithm,Object detection

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