Anti-social behavior detection in audio-visual surveillance systems
Jogile Kuklyte, Philip Kelly, Ciarán Ó Conaire, Noel Edward O'Connor, Li-Qun Xu · Dublin City University Open Access Institutional Repository (Dublin City University) · 2009
Abstract. In this paper we propose a general purpose framework for detection of unusual events. The proposed system is based on the unsupervised method for unusual scene detection in web–cam images that was introduced in [1]. We extend their algorithm to accommodate data from different modalities and introduce the concept of time-space blocks. In addition, we evaluate early and late fusion techniques for our audiovisual data features. The experimental results on 192 hours of data show that data fusion of audio and video outperforms using a single modality. 1