Abstract
Social signal processing is becoming an important topic in affective computing. In this paper, we focus on an important social interaction in real life, namely, fighting. Fight detection will be useful in public transportation, prisons, bars, or even sport. A robust mechanism in detecting fights from a video will be extremely useful, especially in applications relevant to surveillance systems. Recent research works focus on extracting visual features from high resolution video, leading to computationally expensive systems. In this paper, we propose an approach to detect fights in a natural and robust way based on motion analysis, which is not only intuitive, but also robust. Experimental results show that we can accurately detect fight activities in different video surveillance settings. Copyright © 2015 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2015 IEEE International Symposium on Multimedia, ISM 2015 |
| Place of Publication | USA |
| Publisher | IEEE |
| Pages | 57-60 |
| ISBN (Electronic) | 9781509003792 |
| DOIs | |
| Publication status | Published - 2015 |
