This paper presents our work on activity recognition in 3D depth images. We propose a global descriptor that is accurate, compact and easy to compute.

3D ACTIVITY RECOGNITION USING. MOTION HISTORY AND BINARY SHAPE TEMPLATES ... by using Binary Shape Templates which track boundary growth across frames.

This paper presents our work on activity recognition in 3D depth images. We propose a global descriptor that is accurate, compact and easy to compute as ...

This paper presents our work on activity recognition in 3D depth images. We propose a global descriptor that is accurate, compact and easy to compute as ...

3D Activity Recognition using Motion History and Binary Shape Templates.

There are two main segments in this part: motion history image (SMHI) and static history image (SHI) templates for action representation, and Local binary ...

Our goal is automatic recognition of basic human actions, such as stand, sit and wave hands, to aid in natural communication between a human and a computer.

Oct 13, 2024 · Six different activity classifications were attempted using MHI and the below captures the methods for deriving the MHI and its representational ...

Research on Three-dimensional motion history image model and extreme learning machine for human body movement trajectory recognition. Mathematical Problems ...