Real-Time Human Detection Using Hierarchical HOG Matrices

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概要

• 論文の詳細を見る

• Human detection has witnessed significant development in recent years. The introduction of cascade structure and integral histogram has greatly improved detection speed. But real-time detection is still only possible for sparse scan of 320 × 240 sized images. In this work, we propose a matrix-based structure to reorganize the computation structure of window-scanning detection algorithms, as well as a new pre-processing method called Hierarchical HOG Matrices (HHM) in place of integral histogram. Our speed-up scheme can process 320 × 240 sized images by dense scan (≈ 12000 windows per image) at the speed of about 30fps, while maintaining accuracy comparable to the original HOG + cascade method.

• （社）電子情報通信学会の論文
• 2010-03-01

著者

• WANG Guijin

  Department of Electronic Engineering, Tsinghua University

• Wang Guijin

  Department Of Electronics Engineering Tsinghua University

• Wang Guijin

  Dept. Of Electronic Engineering Tsinghua University

• Lin Xinggang

  Department Of Electronic Engineering Tsinghua University

• PANG Guan

  Department of Electronic Engineering, Tsinghua University

• Pang Guan

  Department Of Electronic Engineering Tsinghua University

• Wang Guijin

  Department Of Electronic Engineering Tsinghua University

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