Text & Sign DetectionResearch < Jerod Weinman < CompSci < Grinnell | |||||||||||||
Detection Model![]()
Figure 1. A model for contextual detection. White boxes relate image features to a single unknown label y (sign or background), while green boxes associate image features such as texture gradients with pairs of neighboring labels.
Most previous work has either used (1) a sliding window approach to independently detect individual windows as text (or sign) or (2) an uninformed segmentation method followed by a classification of each region as text versus background. Our model captures the dependency between neighboring regions and uses powerful texture features to discriminate between signs and uninteresting areas. Example Results
Comparison
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