A Discriminative Method for Pedestrians Detection on Real-Time Video

Xue Yuan Chen; Xia Fu Lv; Jie Liu

doi:10.4028/www.scientific.net/AMM.599-601.1829

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601A Discriminative Method for Pedestrians Detection...

A Discriminative Method for Pedestrians Detection on Real-Time Video

Abstract:

The objective of this paper is to build a system for pedestrian detection in an outdoor environment. The contribution of this paper is the detection method that integrates the silhouette edge information with patterns of motion in each frame of the image sequence. The test results show that the high-precision, good adaptability, and real-time performance of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1829-1832

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1829

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Online since:

August 2014

Authors:

Xue Yuan Chen*, Xia Fu Lv, Jie Liu

Keywords:

Background Modeling, Patterns of Motion, Pedestrian Detection, Silhouette Edge

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* - Corresponding Author

References

[1] T. Kanade, R. Collins, A. Lipton, P. Anandan, and P. Burt. Cooperative multisensor video surveillance. In proceedings of DARPA Image Understanding Workshop, volume 1, 1997: 3-10.

Google Scholar

[2] C. Papageorgiou, M. Oren, and T. Poggio. A general framework for object detection. In International Conference on Computer Vision, (1998).

Google Scholar

[3] H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. In IEEE Patt. Anal. Mach. Intell., volume 20, 1998: 22–38.

DOI: 10.1109/34.655647

Google Scholar

[4] H. Schneiderman and T. Kanade. A statistical method for 3D object detection applied to faces and cars. In International Conference on Computer Vision, (2000).

DOI: 10.1109/cvpr.2000.855895

Google Scholar

[5] P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In IEEE Conference on Computer Vision and Pattern Recognition, (2001).

DOI: 10.1109/cvpr.2001.990517

Google Scholar

[6] Zhibin Hong, Xue Mei, Danil Prokhorov, Dacheng Tao. Tracking via Robust Multi-Task Multi-View Joint Sparse Representation. In IEEE Conference on Computer Vision, (2013).

DOI: 10.1109/iccv.2013.86

Google Scholar

[7] K. Yi, H. Jeong, B. Heo, Hyung Jin Chang, JinYoung Choi. Initialization-Insensitive Visual Tracking Through Voting with Salient Local Features. In IEEE Conference on Computer Vision, (2013).

DOI: 10.1109/iccv.2013.362

Google Scholar

[8] Stefan Duffner, Christophe Garcia. PixelTrack: a fast adaptive algorithm for tracking non-rigid objects. In IEEE Conference on Computer Vision, (2013).

DOI: 10.1109/iccv.2013.308

Google Scholar

[9] R. Cutler and L. Davis. Real-Time Periodic Motion Detection, Analysis, and Applications. In Computer Vision and Pattern Recognition Conference, 1999: 326-331.

DOI: 10.1109/cvpr.1999.784652

Google Scholar

[10] Haritaoglu I. and R. Cutler, Detection of People Carrying Objects using Silhouettes. In IEEE Conference on Computer Vision, 1999: 102-107.

DOI: 10.1109/iccv.1999.791204

Google Scholar

[11] Viola P., M. Jones and D. Snow, Detection Pedestrians Using Patterns of Motion and Appearance. IEEE International Conference on Computer Vision, 2003: 734-741.

DOI: 10.1109/iccv.2003.1238422

Google Scholar