Exploiting context for people detection in crowded scenes

Zufeng Fu; Daoyun Xu

doi:10.1117/1.JEI.27.4.043028

30 July 2018 Exploiting context for people detection in crowded scenes

Zufeng Fu, Daoyun Xu

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 4, 043028 (July 2018). https://doi.org/10.1117/1.JEI.27.4.043028

Abstract

The effective use of context information can significantly improve the effect of object detection. This paper proposes a method to exploit the context of a hard example searched by online hard example mining for improving the detection effect for people in crowded scenes. As shown by these experiments, this method can improve the effectiveness of faster R-CNN networks on people detection with a smaller convolutional neural network model. Because smaller convolutional neural network model is used, both the running memory consumption and the computing time can be reduced. Hence, our method can be implemented more easily on embedded devices.

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Zufeng Fu and Daoyun Xu "Exploiting context for people detection in crowded scenes," Journal of Electronic Imaging 27(4), 043028 (30 July 2018). https://doi.org/10.1117/1.JEI.27.4.043028

Received: 9 February 2018; Accepted: 29 June 2018; Published: 30 July 2018

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