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 language | English |
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Title of host publication | Ambient Assisted Living and Daily Activities - 6th International Work-Conference, IWAAL 2014, Proceedings |
Editors | Leandro Pecchia, Leandro Pecchia, Liming Luke Chen, Chris Nugent, José Bravo |
Publisher | Springer Verlag |
Pages | 34-37 |
Number of pages | 4 |
ISBN (Electronic) | 9783319131047 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8868 |
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
- General Computer Science
- Theoretical Computer Science