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SCVMA
2004
Springer
15 years 3 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
ICDE
2008
IEEE
219views Database» more  ICDE 2008»
15 years 11 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
DICTA
2003
14 years 11 months ago
Unsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information
Most codecs such as MPEG-1,2 are based on processing pixels in predetermined tiles of square blocks. The processing of each block is independent of the object-based contents that m...
Ofer Miller, Amir Averbuch, Yosi Keller
GIS
2007
ACM
15 years 3 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon