Public and private vehicle quantification and classification using vehicle detection and recognition
Added Title
IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (11th : 2019)
HNICEM 2019
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Publication Date
11-1-2019
Abstract
Traffic congestion in the Philippines is diverse consisting public and private vehicles. One approach of this is to design a system that can count, detect, recognize, and classify public and private vehicles from a surveillance video. This research introduces the development of the said system, to be used as a statistical data for implementing traffic rules. The dataset the researchers used consists of 13,600 images: 10,880 images for training and 2,720 images for testing. These were obtained from a gas station video source, for the vehicles frequently passing though in a gas station. The researchers used an algorithm called Convolutional Neural Network for the detecting and classifying vehicles.
html
Digitial Object Identifier (DOI)
10.1109/HNICEM48295.2019.9072836
Recommended Citation
Ambata, L. U., Del Castillo, I. P., Jacinto, J. H., & Santos, C. T. (2019). Public and private vehicle quantification and classification using vehicle detection and recognition. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019 https://doi.org/10.1109/HNICEM48295.2019.9072836
Disciplines
Electrical and Computer Engineering
Keywords
Vehicle detectors; Traffic flow—Measurement—Equipment and supplies
Upload File
wf_yes
