Abnormal Pedestrians Activities Recognizer and Tracker

Abnormal Pedestrians Activities Recognizer and Tracker

V. Virili F. Garzia R. Cusani 

Department of Information, Electronics and Telecommunication Engineering, SAPIENZA – University of Rome, Rome, Italy

Wessex Institute of Technology, Ashurst Lodge, Ashurst, Southampton, UK

Page: 
278-289
|
DOI: 
https://doi.org/10.2495/SAFE-V3-N4-278-289
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
31 December 2013
| Citation

OPEN ACCESS

Abstract: 

The purpose of the present work is to find out a new methodology to automatically detect abnormal situations in high risk places through a video surveillance system. The idea is to retrieve true and pre-dicted movement of the people in the scene then, through a classifier, to map out different abnormal situations comparing proper vectors. To reach its purpose, the proposed methodology uses a multidis-ciplinary approach.

Keywords: 

Abnormal activities recognizer, automatic video surveillance, pedestrian tracker

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