Vehicle detection and classification in shadowy traffic images using wavelets and neural networks

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2902, Issue , 1997, Pages 136-147

  Chao, Tien Hsin ^a   Lau, Brian ^a   Park, Youngchul ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Feature extraction; Hennite moment; Neural net classification; Vehicle detection; Wavelet segmentation

Indexed keywords

FEATURE EXTRACTION; HIGHWAY SYSTEMS; HIGHWAY TRAFFIC CONTROL; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; METHOD OF MOMENTS; NEURAL NETWORKS; SENSORS;

ALARM RATES; CLASSIFICATION ACCURACIES; CLASSIFICATION TECHNIQUES; FEATURE EXTRACTION METHODS; HENNITE MOMENT; IN VEHICLES; MOMENT COMPUTATIONS; MOTHER WAVELETS; NEURAL NET CLASSIFICATION; ORDERS OF MAGNITUDES; PRE-PROCESSING; PREPROCESSORS; ROBUST SEGMENTATIONS; SYSTEM COMPLEXITIES; TRAFFIC IMAGES; TRAFFIC PARAMETERS; TRAFFIC SURVEILLANCES; TRAINING TIMES; TWO TYPES; VEHICLE CLASSIFICATIONS; VEHICLE DETECTION; VISION-BASED; WAVELET SEGMENTATION;

VEHICLES;

EID: 0003488002     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.267139     Document Type: Conference Paper

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