Boulgouris Nikolaos V, Chi Zhiwei X
Department of Electronic Engineering, Division of Engineering, King's College London, WC2R 2LS London, U.K.
IEEE Trans Image Process. 2007 Mar;16(3):731-40. doi: 10.1109/tip.2007.891157.
A new feature extraction process is proposed for gait representation and recognition. The new system is based on the Radon transform of binary silhouettes. For each gait sequence, the transformed silhouettes are used for the computation of a template. The set of all templates is subsequently subjected to linear discriminant analysis and subspace projection. In this manner, each gait sequence is described using a low-dimensional feature vector consisting of selected Radon template coefficients. Given a test feature vector, gait recognition and verification is achieved by appropriately comparing it to feature vectors in a reference gait database. By using the new system on the Gait Challenge database, very considerable improvements in recognition performance are seen in comparison to state-of-the-art methods for gait recognition.
提出了一种用于步态表示和识别的新特征提取方法。新系统基于二值轮廓的Radon变换。对于每个步态序列，变换后的轮廓用于计算模板。随后，对所有模板集进行线性判别分析和子空间投影。通过这种方式，每个步态序列都用一个由选定的Radon模板系数组成的低维特征向量来描述。给定一个测试特征向量，通过将其与参考步态数据库中的特征向量进行适当比较来实现步态识别和验证。通过在步态挑战数据库上使用新系统，与当前最先进的步态识别方法相比，识别性能有了非常显著的提高。
