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» Using Segmentation to Verify Object Hypotheses
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ICIP
2004
IEEE
14 years 9 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
ICCV
2009
IEEE
15 years 18 days ago
Multiscale Symmetric Part Detection and Grouping
Skeletonization algorithms typically decompose an object’s silhouette into a set of symmetric parts, offering a powerful representation for shape categorization. However, havi...
Alex Levinshtein, Sven Dickinson, Cristian Sminchi...
IDA
2009
Springer
13 years 5 months ago
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
We propose a method for trajectory classification based on trajectory voting in Moving Object Databases (MOD). Trajectory voting is performed based on local trajectory similarity. ...
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopana...
DOLAP
2010
ACM
13 years 5 months ago
Using ontologies to discover fact IDs
Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. Ho...
Alberto Abelló, Oscar Romero
ACCV
2006
Springer
13 years 11 months ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...