Li Yibo, Li Kun, Ji Xiaofei
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014 Feb;31(1):205-9.
Gait recognition is a new technology in biometric recognition and medical treatment which has advantages such as long-distance and non-invasiveness. Depending on the differences between different people's walking pos tures, we can recognize individuals by characteristics extracted from the images of walking movement. A complete gait recognition process usually includes gait sequence acquisition, gait detection, feature extracting and recognition. In this paper, the commonly used methods of these four processes are introduced, and feature extraction methods are classified from different multi-angle views. And then the new algorithm of multi-view emerged in recent years is highlighted. In addition, this paper summarizes the existing difficulties of gait recognition, and looks into the future development trends of it.
步态识别是生物识别和医学治疗领域中的一项新技术，具有远距离和非侵入性等优点。根据不同人行走姿势的差异，我们可以通过从行走运动图像中提取的特征来识别个体。一个完整的步态识别过程通常包括步态序列采集、步态检测、特征提取和识别。本文介绍了这四个过程中常用的方法，并从不同的多角度对特征提取方法进行了分类。然后重点介绍了近年来出现的多视角新算法。此外，本文总结了步态识别现有的难点，并展望了其未来的发展趋势。
