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» Detecting Irregularities in Images and in Video
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CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
16 years 9 days ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ICIP
2008
IEEE
16 years 7 months ago
Estimation and representation of accumulated motion characteristics for semantic event detection
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
MICCAI
2010
Springer
15 years 4 months ago
Endoscopic Video Manifolds
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...
Selen Atasoy, Diana Mateus, Joe Lallemand, Alexand...
PAMI
2012
13 years 8 months ago
Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video
—We describe an approach for segmenting a moving image into regions that correspond to surfaces in the scene that are partially surrounded by the medium. It integrates both appea...
Alper Ayvaci, Stefano Soatto
CIVR
2003
Springer
196views Image Analysis» more  CIVR 2003»
15 years 11 months ago
Audio-Based Event Detection for Sports Video
Abstract. In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is ...
Mark Baillie, Joemon M. Jose