An efficient method of human behavior recognition in smart environments

The task of reliably detecting and recognizing the action of a specific person for smart space is challenging. In this paper, an efficient vision-based method of human behavior recognition in smart environments is proposed, which utilizes the template match method by edge gradient orientation method...

Full description

Saved in:
Bibliographic Details
Main Authors: Chin-Hua Hu, Song-Lin Wo
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
behavior recognition
Computational modeling
gradient orientation
vision-based
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The task of reliably detecting and recognizing the action of a specific person for smart space is challenging. In this paper, an efficient vision-based method of human behavior recognition in smart environments is proposed, which utilizes the template match method by edge gradient orientation method for extracting the critical points of human and using the Hidden Markov Model (HMM) to construct the behavior recognition classifier. Various experiments are carried out and the results demonstrate the robustness and reliability in human behavior recognition.
ISSN:2161-9069
DOI:10.1109/ICCASM.2010.5622464