Share Email Print
cover

Proceedings Paper

Discriminatively trained part based model armed with biased saliency
Author(s): Huapeng Yu; Yongxin Chang; Pei Lu; Zhiyong Xu; Chengyu Fu; Yafei Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Discriminatively trained Part based Model (DPM) is one of the state-of-the-art object detectors. However, DPM complies little with real vision procedure. In this paper, we try arming DPM with biologically inspired approaches. On the one hand, we use Gabor instead of Histogram of Oriented Gradient (HOG) as low level features to simulate the receptive fields of simple cells. We show Gabor outperforms or is on par with HOG. On the other hand, we learn biased saliency of the object with the same Gabor features to simulate the search procedure of real vision. We combine DPM and biased saliency in a single Bayesian framework, which at least partially reflects the interactions between top-down and bottom-up vision procedures. We show these biologically inspired procedures can effectively improve the performance and efficiency of DPM. We present experimental results on both challenging PASCAL VOC2007 dataset and publicly available sequences.

Paper Details

Date Published: 10 February 2015
PDF: 8 pages
Proc. SPIE 9255, XX International Symposium on High-Power Laser Systems and Applications 2014, 92553H (10 February 2015); doi: 10.1117/12.2064960
Show Author Affiliations
Huapeng Yu, Institute of Optics and Electronics (China)
Univ. of Electronic Science and Technology of China (China)
Univ. of Chinese Academy of Sciences (China)
Yongxin Chang, Institute of Optics and Electronics (China)
Univ. of Electronic Science and Technology of China (China)
Univ. of Chinese Academy of Sciences (China)
Pei Lu, Institute of Optics and Electronics (China)
Univ. of Electronic Science and Technology (China)
Univ. of Chinese Academy of Sciences (China)
Zhiyong Xu, Institute of Optics and Electronics (China)
Chengyu Fu, Institute of Optics and Electronics (China)
Yafei Wang, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 9255:
XX International Symposium on High-Power Laser Systems and Applications 2014
Chun Tang; Shu Chen; Xiaolin Tang, Editor(s)

© SPIE. Terms of Use
Back to Top