Individual detection-tracking-recognition using depth activity images

Abstract

In this paper, a depth camera-based novel approach for human activity recognition is presented using robust depth silhouettes context features and advanced Hidden Markov Models (HMMs). During HAR framework, at first, depth maps are processed to identify human silhouettes from noisy background by considering frame differentiation constraints of human body… (More)
DOI: 10.1109/URAI.2015.7358903

Topics

11 Figures and Tables

Statistics

0204020162017
Citations per Year

Citation Velocity: 10

Averaging 10 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics