Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Flexible multi-level regression model for prediction of pedestrian abnormal behavior
- Authors
- Jung Yu-Jin; Yoon Yong-Ik
- Issue Date
- Jan-2016
- Publisher
- Springer Verlag
- Keywords
- Abnormal behaviour; Behavior prediction; CCTV systems; Flexible multi-level regression; Situation assessment
- Citation
- Lecture Notes in Electrical Engineering, v.368, pp 137 - 143
- Pages
- 7
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 368
- Start Page
- 137
- End Page
- 143
- ISSN
- 1876-1100
- Abstract
- The high incidence of heinous crime is increasing to use of CCTV. However, CCTV has been used to obtain evidence rather than crime prevention. Also it shows a weak effect about preventing crime. To solve the weak effort, we propose a Flexible Multi-level Regression (FMR) model that should estimate a dangerous situation for the pedestrian. The FMR model is tracking the behavior of between pedestrians from multiple CCTV that are located in different locations. The FMR has a prediction logic that should estimate an abnormal situation to analyze the possibility of crime by using the Regression and Apriori algorithm. The FMR model can be usefully used to prevent the crime because of an immediate response and rapid situation assessment. © Springer Science+Business Media Singapore 2016.
- Files in This Item
- Go to Link
- Appears in
Collections - ICT융합공학부 > IT공학전공 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.