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Non-parametric e-mixture of Density Functions Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Driver Face Detection Based on Aggregate Channel Features and Deformable Part-Based Model in Traffic Camera

Authors : Yang Wang, Xiaoma Xu, Mingtao Pei

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

We explore the problem of detecting driver faces in cabs from images taken by traffic cameras. Dim light in cabs, occlusion and low resolution make it a challenging problem. We employ aggregate channel features instead of a single feature to reduce the miss rate, which will introduce more false positives. Based on the observation that most running vehicles have a license plate and the relative position between the plate and driver face has an approximately fixed pattern, we refer to the concept of deformable part-based model and regard a candidate face and a plate as two deformable parts of a face-plate couple. A candidate face will be rejected if it has a low confidence score. Experiment results demonstrate the effectiveness of our method.

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previous chapter Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks
next chapter Segmentation with Selectively Propagated Constraints
Literature
1.
Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2879–2886. IEEE (2012)
2.
Lei, Z., Yi, D., Li, S.Z.: Local gradient order pattern for face representation and recognition. In: 2014 22nd International Conference on Pattern Recognition (ICPR), pp. 387–392. IEEE (2014)
3.
Bilaniuk, O., Fazl-Ersi, E., Laganiere, R., Xu, C., Laroche, D., Moulder, C.: Fast LBP face detection on low-power SIMD architectures. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 630–636. IEEE (2014)
4.
Shen, X., Lin, Z., Brandt, J., Wu, Y.: Detecting and aligning faces by image retrieval. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3460–3467. IEEE (2013)
5.
Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)CrossRef
6.
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. CVPR 2001, vol. 1, pp. I–511. IEEE (2001)
7.
Hsu, R.L., Abdel-Mottaleb, M., Jain, A.K.: Face detection in color images. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 696–706 (2002)CrossRef
8.
Yang, M.H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(1), 34–58 (2002)CrossRef
9.
Hao, X., Chen, H., Li, J.: An automatic vehicle occupant counting algorithm based on face detection. In: 2006 8th International Conference on Signal Processing, vol. 3. IEEE (2006)
10.
Xu, B., Paul, P., Artan, Y., Perronnin, F.: A machine learning approach to vehicle occupancy detection. In: 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), pp. 1232–1237. IEEE (2014)
11.
Smith, P., Shah, M., Lobo, N.D.V.: Determining driver visual attention with one camera. IEEE Trans. Intell. Transp. Syst. 4(4), 205–218 (2003)CrossRef
12.
Wang, Q., Yang, J., Ren, M., Zheng, Y.: Driver fatigue detection: a survey. In: The Sixth World Congress on Intelligent Control and Automation, 2006. WCICA 2006, vol. 2, pp. 8587–8591. IEEE (2006)
13.
Eriksson, M., Papanikolopoulos, N.P.: Driver fatigue: a vision-based approach to automatic diagnosis. Transp. Res. Part C: Emerg. Technol. 9(6), 399–413 (2001)CrossRef
14.
Ji, Q., Zhu, Z., Lan, P.: Real-time nonintrusive monitoring and prediction of driver fatigue. IEEE Trans. Veh. Technol. 53(4), 1052–1068 (2004)CrossRef
15.
Yang, B., Yan, J., Lei, Z., Li, S.Z.: Aggregate channel features for multi-view face detection. In: 2014 IEEE International Joint Conference on Biometrics (IJCB), pp. 1–8. IEEE (2014)
16.
Felzenszwalb, P., McAllester, D., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: IEEE Conference on Computer Vision and Pattern Recognition, 2008. CVPR 2008, pp. 1–8. IEEE (2008)
17.
Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627–1645 (2010)CrossRef
18.
Felzenszwalb, P.F., Girshick, R.B., McAllester, D.: Cascade object detection with deformable part models. In: 2010 IEEE conference on Computer vision and pattern recognition (CVPR), pp. 2241–2248. IEEE (2010)
19.
Dollár, P., Tu, Z., Perona, P., Belongie, S.: Integral channel features. In: BMVC, vol. 2, p. 5 (2009)
20.
Wang, Y., Pei, M., Jia, Y.: License plate detection based on multiple features. J. Image Graph. 19(003), 471–475 (2014)
Metadata
Title
Driver Face Detection Based on Aggregate Channel Features and Deformable Part-Based Model in Traffic Camera
Authors
Yang Wang
Xiaoma Xu
Mingtao Pei
Copyright Year
2016
Book
Neural Information Processing

Print ISBN: 978-3-319-46671-2

Electronic ISBN: 978-3-319-46672-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46672-9_64

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