[1]ZHANG Yuan-yuan,WU Xiao-juan,LI Xiu-yuan,et al.Viewpointindependent gait recognition with parallel line constraints[J].CAAI Transactions on Intelligent Systems,2009,4(3):264-269.
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Viewpointindependent gait recognition with parallel line constraints

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 3 Page number: 264-269 Column: 学术论文—机器感知与模式识别 Public date: 2009-06-25
Title:
Viewpointindependent gait recognition with parallel line constraints
Author(s):
ZHANG Yuan-yuan1;  WU Xiao-juan1;  LI Xiu-yuan1;  RUAN Qiu-qi2
1. School of Information Science and Technology, Shandong University, Ji’nan 250100, China;
2. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
Keywords:
monocular camera;  parallel restriction;  3D reconstruction;  viewpoint independent;  gait recognition
CLC:
TP391.4
DOI:
-
Abstract:
This paper proposes a novel gait recognition algorithm that is independent of viewpoints under certain constraints. First, we described the definition of the proposed gait feature and its constraints. Then we discussed a coordinate reconstruction method for spatial points under the constraints of monocular parallel lines. With this we could employ the relevant coordinate conversion factor to recover 3D coordinates of some key points from 2D monocular camera images. The human body was modeled and simplified as three connected sticks, and the parameters of that model were estimated using the proposed reconstruction method. Thus, we obtained viewpointindependent gait features represented by those parameters. Both theoretical calculations and experimental results revealed that the proposed gait features partially avoid the influence of viewpoint under ideal circumstances. Though correct classification rates are not high enough, it provides a useful tool for the identification of human gaits at arbitrary viewing angles.
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