An Overarching Study on Gait Recognition – Appearance Based Approach

Gait Recognition is becoming a topic of continual research interest in biometrics research community. It has turn out to be a vital biometric feature for human identification. It is main advantage is its non – invasive nature. Gait Recognition is a type of pattern recognition based on the walking styles of a person. Machine and Deep learning technologies have modernized the field of gait recognition by aiding computers to automatically learn and extract complex patterns. These techniques analyze video recordings of a person to determine key features in each person’s gait, and these features are used to identify the person. The primary goal of this paper is to provide an elucidate survey of the progressive ideas in appearance-based gait recognition techniques, mentioning their applications, strengths and limitations. Through the analysis of the techniques discussed in the recent years, enlighten the significant advance, draw attention to the drawbacks that have been faced, and identify areas of prospective future research and advances in technology of gait recognition. Its hopeful that this survey analysis in appearance-based gait recognition will be a helpful resource for the researchers on this dynamic field.