The Study on the Model of Effective Face Retrieval in Pedestrian Detection

DOI

10.2991/eeeis-17.2017.42How to use a DOI?

Keywords

Effective Face Recognition, Symmetry Coefficient, Distance Coefficient.

Abstract

Pedestrian detection and retrieval plays an important role in intelligent video surveillance and automobile auxiliary driving system. Video surveillance creates mass monitored data among which a little effective information exists and could be hardly found. To settle the problem, based on pedestrian detection and face identification, the paper proposes a judgement and retrieval model of effective faces in pedestrian detection. The model helps to delete useless data and reserve the pedestrian data with effective faces, therefore, it provides data base for pedestrian image retrieval.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hua-Yang LI
AU  - Pan-Pan XIA
AU  - Hui-Lian XU
PY  - 2017/09
DA  - 2017/09
TI  - The Study on the Model of Effective Face Retrieval in Pedestrian Detection
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 306
EP  - 312
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.42
DO  - 10.2991/eeeis-17.2017.42
ID  - LI2017/09
ER  -