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MICCAI
2003
Springer
14 years 10 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...
ICMCS
2010
IEEE
271views Multimedia» more  ICMCS 2010»
13 years 11 months ago
An intelligent high-frame-rate video logging system with real-time image processing at 1000 fps
This paper introduces an intelligent high-frame-rate video logging system that can automatically detect high-speed unpredictable behavior and record video comprising images with d...
Idaku Ishii, Yaodong Wang, Takeshi Takaki
ICASSP
2011
IEEE
13 years 1 months ago
Abnormal motion detection in crowded scenes using local spatio-temporal analysis
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
Fahad Daniyal, Andrea Cavallaro
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
ICAC
2005
IEEE
14 years 3 months ago
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata
Detection and diagnosis of faults in a large-scale distributed system is a formidable task. Interest in monitoring and using traces of user requests for fault detection has been o...
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Ke...