Application of deep learning to the problem of vehicle detection in UAV images

Proceedings of the 19th International Conference on Soft Computing and Measurements, SCM 2016

Volumn , Issue , 2016, Pages 4-6

  Konoplich, Georgy V ^a   Putin, Evgeniy O ^a   Filchenkov, Andrey A ^a  

^a ITMO UNIVERSITY   (Russian Federation)

Author keywords

convolutional neural networks; deep learning networks; feature extraction; object detection; real time systems; vehicle detection

Indexed keywords

CONVOLUTION; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; OBJECT DETECTION; PROBLEM SOLVING; REAL TIME SYSTEMS; SOFT COMPUTING; UNMANNED AERIAL VEHICLES (UAV); VEHICLES;

CONVENTIONAL TRANSPORTS; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; HYBRID NEURAL NETWORKS; TRAINING SAMPLE; VARIABLE SIZES; VEHICLE DETECTION;

FEATURE EXTRACTION;

EID: 84992036292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCM.2016.7519666     Document Type: Conference Paper

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