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GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
15 years 5 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
137
Voted
ICCV
2001
IEEE
16 years 6 months ago
Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects
We introduce new small-motion multi-frame equations applicable to the reconstruction of dynamic scenes in which points are allowed to move along straight-line paths with constant ...
Amnon Shashua, Anat Levin
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
15 years 10 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
ECAI
2004
Springer
15 years 9 months ago
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
ICRA
2010
IEEE
188views Robotics» more  ICRA 2010»
15 years 2 months ago
Classification and prediction for accurate sensor-based assembly to moving objects
Abstract-- Typical industrial assembly tasks require an accuracy that cannot be realized by only feedback control if a minimum speed is given by a conveyor. Feed-forward has proven...
Friedrich Lange, Johannes Scharrer, Gerd Hirzinger