Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition

Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition

This paper presents a local spatio-temporal descriptor for action recognistion from depth video sequences, which is capable of distinguishing similar actions as well as coping with different speeds of actions. This descriptor is based on three processing stages. In the first stage, the shape and mot...

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Bibliographic Details
Main Authors: Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasser Kehtarnavaz
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Action recognition
depth motion maps
ELM classifier
local binary patterns
fisher kernel
Online Access:https://ieeexplore.ieee.org/document/8055546/

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