In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
We propose a system for the automatic segmentation of novelties from the background in scenarios where multiple images of the same environment are available e.g. obtained by weara...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
—An innovative application of gaze-tracking and acoustic vector sensors (AVS) technologies for guidance of moving pan- tilt-zoom (PTZ) monitoring camera is presented. Gaze-tracki...
Jozef Kotus, Bartosz Kunka, Andrzej Czyzewski, Pio...