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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
SCIA
2007
Springer
178views Image Analysis» more  SCIA 2007»
14 years 4 months ago
Occluded Facial Expression Tracking
The work presented here takes place in the field of computer aided analysis of facial expressions displayed in sign language videos. We use Active Appearance Models to model a fac...
Hugo Mercier, Julien Peyras, Patrice Dalle
IJPRAI
2008
235views more  IJPRAI 2008»
13 years 10 months ago
Shape-Based Individual/Group Detection for Sport Videos Categorization
We present a shape based method for automatic people detection and counting without any assumption or knowledge of camera motion. The proposed method is applied to athletic videos...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 5 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
ICRA
2010
IEEE
211views Robotics» more  ICRA 2010»
13 years 8 months ago
A saliency-based approach to boost trail detection
— This paper presents a saliency-based solution to boost trail detection. The proposed model builds on the empirical observation that trails are usually conspicuous structures in...
Pedro Santana, Nelson Alves, Luís Correia, ...