We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...
In the Ad-Hoc InfoWare project, we develop a delay tolerant event notification service for sparse Mobile Ad-Hoc Networks for emergency and rescue operations. In most event notific...
Anna K. Lekova, Katrine Stemland Skjelsvik, Thomas...
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
We have implemented Multi-Session based Network Security Event Detector: ROOK to detect botnet activity and P2P file sharing traffic and our results show that our method is less...
In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. In the method, video frame...
Qixiang Ye, Qingming Huang, Wen Gao, Shuqiang Jian...