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MICCAI
2003
Springer
14 years 7 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 7 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
12 years 10 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»
13 years 10 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
13 years 12 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...