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ICIP
2007
IEEE
16 years 24 days ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICARCV
2008
IEEE
138views Robotics» more  ICARCV 2008»
15 years 5 months ago
Looking at the surprise: Bottom-up attentional control of an active camera system
—Inspired by the expectation-based perception of humans, a surprise-driven active vision system is proposed. This vision system not only considers spatial saliency of objects in ...
Tingting Xu, Quirin Mühlbauer, Stefan Sosnows...
CVPR
2007
IEEE
16 years 1 months ago
Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...
Zhaozheng Yin, Robert T. Collins
KI
2010
Springer
14 years 9 months ago
Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic
Most approaches to the visual perception of humans do not include high-level activity recognitition. This paper presents a system that fuses and interprets the outputs of several c...
Joris Ijsselmuiden, Rainer Stiefelhagen
ICIP
2000
IEEE
16 years 21 days ago
A Multi-Fractal Formalism for Stabilization, Object Detection and Tracking in Flir Sequences
I n this paper, we investigate the problem of stabilization, and detection and tracking of moving or stationary objects in a forward-looking infrared (FLIR) sequence. A multifract...
Hassan Shekarforoush, Rama Chellappa