Monocular precrash vehicle detection: features and classifiers

Robust and reliable vehicle detection from images acquired by a moving vehicle (i.e., on-road vehicle detection) is an important problem with applications to driver assistance systems and autonomous, self-guided vehicles. The focus of this work is on the issues of feature extraction and classificati...

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Veröffentlicht in:	IEEE transactions on image processing 2006-07, Vol.15 (7), p.2019-2034
Hauptverfasser:	Zehang Sun, Bebis, G., Miller, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Traffic - prevention & control Algorithms Applied sciences Artificial Intelligence Automobiles Automotive components Automotive engineering Automotive industry Classification Cluster Analysis Computer science control theory systems Computer vision Connectionism. Neural networks Detection, estimation, filtering, equalization, prediction Exact sciences and technology Feature extraction Focusing Gabor filters Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information Storage and Retrieval - methods Information, signal and communications theory Mobile robots Motor Vehicles - classification neural networks (NNs) Pattern recognition Pattern Recognition, Automated - methods Principal component analysis principal component analysis (PCA) Principal components analysis Remotely operated vehicles Robustness Signal and communications theory Signal processing Signal, noise Studies support vector machines (SVMs) Telecommunications and information theory Vehicle detection Vehicle driving Vehicles Vision, Monocular Wavelet analysis wavelets
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