depth image

A template matching approach of one-shot-learning gesture recognition

This paper proposes a novel approach for gesture recognition from motion depth images based on template matching. Gestures can be represented with image templates, which in turn can be used to compare and match gestures. The proposed method uses a …

Temporal segmentation of gestures using gradient orientation of depth images

This paper deals with the problem of temporal segmentation present in practical applications of action and gesture recognition. In order to separate different gestures from gesture sequences a novel method utilizing depth information, oriented …

Gesture recognition with depth images — A simple approach

A novel approach for gesture recognition is developed in this paper based on template matching from motion depth image. The proposed method uses a single example of an action as a query to find similar matches from a good number of test samples. No …