eprintid: 3838
rev_number: 9
eprint_status: archive
userid: 402
dir: disk0/00/00/38/38
datestamp: 2019-12-12 09:38:44
lastmod: 2019-12-12 09:38:44
status_changed: 2019-12-12 09:38:44
type: conference_item
metadata_visibility: show
creators_name: Bui, Ngoc Dung
creators_name: Hoang, Xuan Tung
creators_id: dnbui@utc.edu.vn
creators_id: tunghx@vnu.edu.vn
title: Multiple Vehicles Tracking in Intelligent Transportation System using Convolutional Neural Network and Kalman Filter
ispublished: inpress
subjects: IT
subjects: transportation
divisions: fac_fit
abstract: Vehicles detection and tracking have become an important role to traffic management systems. Recently, many vehicles tracking approaches have already been proposed. However, these approaches were unable to adequately distinguish vehicles from each other when those vehicles look similar and involve in complex transportation conditions. In this paper, a method for tracking vehicles in surveillance cameras is presented. In our method, Convolutional Neural Networks is used to detect vehicles. Also, multiple Kalman filters are used to track those vehicles. The proposed method is designed for distinguishing and tracking multiple vehicles simultaneously. Our experiments show that the proposed mechanism achieves high accuracy even with real time constraints.
date: 2019-12-19
date_type: published
full_text_status: public
pres_type: paper
event_title: The 5th International Conference on Next Generation Computing 2019
event_location: Chiang Mai, Thailand
event_dates: December 19~21, 2019
event_type: conference
refereed: FALSE
citation:   Bui, Ngoc Dung and Hoang, Xuan Tung  (2019) Multiple Vehicles Tracking in Intelligent Transportation System using Convolutional Neural Network and Kalman Filter.  In: The 5th International Conference on Next Generation Computing 2019, December 19~21, 2019, Chiang Mai, Thailand.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3838/1/vehicles-tracking-Bui-Hoang.pdf