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PAMI
2008
302views more  PAMI 2008»
15 years 7 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
PAMI
2006
95views more  PAMI 2006»
15 years 7 months ago
Table Detection in Online Ink Notes
In documents, tables are important structured objects that present statistical and relational information. In this paper, we present a robust system which is capable of detecting t...
Zhouchen Lin, Junfeng He, Zhicheng Zhong, Rongrong...
JEI
2008
128views more  JEI 2008»
15 years 7 months ago
Practical use of receiver operating characteristic analysis to assess the performances of defect detection algorithms
Defect detection in images is a current task in quality control and is often integrated in partially or fully automated systems. Assessing the performances of defect detection algo...
Yann Le Meur, Jean-Michel Vignolle, Jocelyn Chanus...
ECCV
2010
Springer
15 years 4 months ago
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...
ICCV
2011
IEEE
14 years 1 months ago
Video Parsing for Abnormality Detection
Detecting abnormalities in video is a challenging problem since the class of all irregular objects and behaviors is infinite and thus no (or by far not enough) abnormal training sa...
Borislav Antic, Bjorn Ommer