Fast human detection using a cascade of histograms of oriented gradients

Qiang Zhu*, Shai Avidan, Mei Chen Yeh, Kwang Ting Cheng

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

1241 引文 斯高帕斯(Scopus)

摘要

We integrate the cascade-of-rejectors approach with the Histograms of Oriented Gradients (HoG) features to achieve a fast and accurate human detection system. The features used in our system are HoGs of variable-size blocks that capture salient features of humans automatically. Using AdaBoost for feature selection, we identify the appropriate set of blocks, from a large set of possible blocks. In our system, we use the integral image representation and a rejection cascade which significantly speed up the computation. For a 320 × 250 image, the system can process 5 to 30 frames per second depending on the density in which we scan the image, while maintaining an accuracy level similar to existing methods.

原文英語
主出版物標題Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006
頁面1491-1498
頁數8
DOIs
出版狀態已發佈 - 2006
對外發佈
事件2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006 - New York, NY, 美国
持續時間: 2006 六月 172006 六月 22

出版系列

名字Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2
ISSN(列印)1063-6919

其他

其他2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006
國家/地區美国
城市New York, NY
期間2006/06/172006/06/22

ASJC Scopus subject areas

  • 軟體
  • 電腦視覺和模式識別

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