Gait Recognition and Carried Object Detection

The term gait recognition is typically used to signify the identification of people in image sequences by the way they walk. Gait is determined by the physical characteristics of each individual, and so is believed to be as unique to the person as a fingerprint. Gait is also one of the few biometrics that can be measured at a distance, which makes it useful in surveillance applications as well. In this paper our objective is to develop robust methods for extracting discriminant gait features automatically and passively from low-resolution video. We also find whether the person carrying any object or not.