False Alarm Filtering in a Vision Traffic Sign Recognition System - An Approach based on AdaBoost and Heterogeneity of Texture.
Sergio Lafuente-ArroyoSaturnino Maldonado-BascónHilario Gómez-MorenoPedro Gil-JiménezPublished in: ICAART (1) (2011)
Keyphrases
- false alarms
- traffic signs
- traffic sign detection
- detection rate
- face detection
- color segmentation
- recognition algorithm
- number of false alarms
- computer vision
- false alarm rate
- object detection
- feature extraction
- automatic recognition
- sign detection and recognition
- real time
- texture features
- intelligent vehicles
- textured images
- color features
- texture segmentation
- learning algorithm
- target detection
- vision system
- false positives
- gray level
- multi class
- image processing
- texture images
- human vision
- training samples
- video images
- real time traffic
- worm detection
- color image segmentation
- computational complexity
- decision trees
- feature selection