This paper proposes an unusual event recognition algorithm, which is a part of a mobile alarm system. Our systems focus on unusual event. When the system detects the unusual event,...
Soo Yeong Kwak, Guntae Bae, Kil-Cheon Kim, Hyeran ...
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not res...
Stephan Hasler, Heiko Wersing, Stephan Kirstein, E...
We present an experimental setup for real-time face identification in a cluttered scene. Color images of people are recorded with a static camera. A rough face detection is perfor...
This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segment...
Object detection and segmentation can be facilitated by the availability of a reference object. However, accounting for possible transformations between the different object views...