Recognizing human actions based on silhouette energy image and global motion description

Mohiuddin Ahmad, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

In this paper, we propose a spatio-temporal silhouette, called silhouette energy image (SEI), and models, to characterize motion and shape properties automatic recognition of human actions in daily . To address the variability in the recognition of human, several parameters, such as anthropometry of the, speed of the action, phase (starting and ending state an action), camera observations (distance from camera, motion, and rotation of human body), and view are proposed. We construct the variability models on SEI and the variability parameters. The global based motions express the spatio-temporal properties SEI and variability models. Our construction of the model for each action and view is based on the vectors of motion descriptions of combined action . We recognize different daily human actions of different successfully in the indoor and outdoor environment. experimental results show that the proposed of human action recognition is robust, flexible and efficient.

Original languageEnglish
Title of host publication2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs
Publication statusPublished - 2008
Event2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
Duration: 2008 Sept 172008 Sept 19

Publication series

Name2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Other

Other2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Country/TerritoryNetherlands
CityAmsterdam
Period08/9/1708/9/19

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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