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ICIP
2007
IEEE
14 years 10 months 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»
14 years 3 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
14 years 10 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
13 years 7 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
14 years 10 months 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