[1]BEN Xianye,WANG Kejun,MA Hui.Videobased automatic frontview human identification[J].CAAI Transactions on Intelligent Systems,2012,7(1):69-74.
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Videobased automatic frontview human identification

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 1 Page number: 69-74 Column: 学术论文—机器感知与模式识别 Public date: 2012-02-25
Title:
Videobased automatic frontview human identification
Author(s):
BEN Xianye1; 2;  WANG Kejun3;  MA Hui3; 4
1.School of Information Science and Engineering, Shandong University, Ji’nan 250100, China；
2.School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China；
3.College of Automation, Harbin Engineering University, Harbin 150001, China；
4. School of Electronic Engineering, Heilongjiang University, Harbin 150086, China
Keywords:
human identification;  gait recognition;  Adaboost;  facial feature;  frontview gait period detection
CLC:
TP391.41
DOI:
-
Abstract:
A system was designed to automatically identify a person from a frontview angle in a video sequence, including the modules of Adaboost pedestrian detection, Adaboost face detection, complexion verification, gait preprocessing, period detection, feature extraction, and decisionmaking level amalgamation and identification. The face detection module and gait period detection module can be activated automatically by the pedestrian detection module. The experimental results show that the swinging arm region can be detected for obtaining the frontview gait period accurately with minimal computation, which is suitable for realtime gait recognition. Applying gait features assisted by face features to the decisionmaking level amalgamation method to solve human identification in a video sequence is a new idea. Even in gait recognition with a single sample per person, this proposed scheme can achieve an improvement in the correct recognition rate when face and gait information are integrated as opposed to using gait features alone. 
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Last Update: 2012-05-07

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