Authors:
Florian Raudies
and
Heiko Neumann
Affiliation:
Institute of Neural Information Processing, University of Ulm, Germany
Keyword(s):
Attention, Video Surveillance, Motion Streaks, Image Flow, Recurrent Grouping.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Tracking of People and Surveillance
Abstract:
Recently proposed algorithms in the field of vision-based video surveillance are build upon directionally consistent flow (Wixson and Hansen, 1999; Tian and Hampapur, 2005), or statistics of foreground and background (Ren et al., 2003; Zhang et al., 2007). Here, we present a novel approach which utilizes an attention mechanism to focus processing on (highly) suspicious image regions. The attention signal is generated through temporal integration of localized image features from monocular image sequences. This approach incorporates biologically inspired mechanisms, for feature extraction and spatio-temporal grouping. We compare our approach with an existing method for the task of video surveillance (Tian and Hampapur, 2005) with a receiver operator characteristic (ROC) analysis. In conclusion our model is shown to yield results which are comparable with existing approaches.