Monocular precrash vehicle detection: Features and classifiers

IEEE Transactions on Image Processing

Volumn 15, Issue 7, 2006, Pages 2019-2034

  Sun, Zehang ^a,b   Bebis, George ^c   Miller, Ronald ^d  

^a UNIVERSITY OF NEVADA   (United States)

^b eTreppid Technologies LLC   (United States)

^c University of Nevada   (United States)

^d FORD MOTOR COMPANY   (United States)

Author keywords

Gabor filters; Neural networks (NNs); Principal component analysis (PCA); Support vector machines (SVMs); Vehicle detection; Wavelets

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; TRACKING (POSITION); WAVELET TRANSFORMS;

GABOR FILTERS; MONOCULAR PRECRASH VEHICLE DETECTION; SUPPORT VECTOR MACHINES; VEHICLE DETECTION;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MONOCULAR VISION; MOTOR VEHICLE; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MOTOR VEHICLES; PATTERN RECOGNITION, AUTOMATED; VISION, MONOCULAR;

EID: 33745625892     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.877062     Document Type: Article

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