Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety-Reference-Cited by-同舟云学术

Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety

Published:2014 Issue:2 Volume:E97.D Page:296-304
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

KATAOKA Hirokatsu¹²,TAMURA Kimimasa¹,IWATA Kenji³,SATOH Yutaka³,MATSUI Yasuhiro⁴,AOKI Yoshimitsu¹

Affiliation:

1. Keio University

2. Japan Society for the Promotion of Science

3. National Institute of Advanced Industrial Science and Technology (AIST)

4. National Traffic Safety and Environment Laboratory

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/2/E97.D_296/_pdf

Reference24 articles.

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2. [2] T. Gandhi and M.M. Trivedi, “Pedestrian collision avoidance systems: A survey of computer vision based recent studies,” IEEE Intelligent Transportation Systems Conference (ITSC), pp.976-981, 2006.

3. [3] D. Geronimo, A.M. Lopez, A.D. Sappa, and T. Graf, “Survey of pedestrian detection for advanced driver assistance systems,” IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.7, pp.1239-1258, 2010.

4. [4] P. Dollar, C. Wojek, B. Schiele, and P. Perona, “Pedestrian detection: An evaluation of the state of the art,” IEEE Trans. Pattern Anal. Mach. Intell., vol.34, no.4, pp.743-761, 2012.

5. [5] D. Geronimo, A. Sappa, A. Lopez, and D. Ponsa, “Adaptive image sampling and windows classification for on-board pedestrian detection,” Int' Conf. Computer Vision Systems, 2007.

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