ABNORMAL PEDESTRIANS ACTIVITIES RECOGNIZER AND TRACKER
Free (open access)
Volume 3 (2013), Issue 4
278 - 289
V. VIRILI, F. GARZIA & R. CUSANI
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 predicted 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 multidisciplinary approach.
Abnormal activities recognizer, automatic video surveillance, pedestrian tracker