Walking in Colors: Human Gait Recognition Using Kinect and CBIR

This article proposes a new method of recognizing human gait. The proposed method is based on the idea that the problem of human gait recognition can be transformed from a spatio-temporal problem into the spatial domain, specifically the 2D image domain. This is done by representing a sample of a human gait as a still image. By doing so, all the recorded information is kept while enabling the use of proven content-based image retrieval (CBIR) techniques for recognition. The proposed method uses Microsoft Kinect human-computer interaction technology for data acquisition. To prove the validity of the proposed approach, the authors conducted a study with 50 participants.