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» Modeling Image Context Using Object Centered Grid
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ECCV
2008
Springer
15 years 11 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
ECCV
2010
Springer
15 years 1 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
ICCV
1995
IEEE
15 years 28 days ago
Fast Object Recognition in Noisy Images Using Simulated Annealing
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Margrit Betke, Nicholas C. Makris
CVPR
2009
IEEE
16 years 4 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
ECCV
2006
Springer
15 years 11 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...