Gait Representation and Recognition Based on Radon Transform

A new 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. 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.