PAM-based behavior modelling

Thien Huynh-The*, Ba Vui Le, Muhammad Fahim, Sungyoung Lee, Yongik Yoon, Byeong Ho Kang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A novel approach for human behavior modelling is represented in this paper based on thePachinko Allocation Model (PAM) algorithm for the video-based road surveillance. In particular, the authors focus on the behavior analysis and modelling for learning and training as the main distribution of this research. Sparse object features in sequence of frames are modelled into activities and behaviors with full topic correlations to avoid omissions of small activities.

Original languageEnglish
Title of host publicationAmbient Assisted Living and Daily Activities - 6th International Work-Conference, IWAAL 2014, Proceedings
EditorsLeandro Pecchia, Leandro Pecchia, Liming Luke Chen, Chris Nugent, José Bravo
PublisherSpringer Verlag
Pages34-37
Number of pages4
ISBN (Electronic)9783319131047
DOIs
Publication statusPublished - 2014
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8868
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • CCTV system
  • Human behavior modelling
  • Pachinko allocation model
  • Video-based road surveillance

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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