An Adaptive Traffic Flow Analysis Scheme Based on Scene-Specific Sample Collection and Training
碩士 === 國立中央大學 === 資訊工程研究所 === 99 === This research presents a framework of analyzing the traffic information in the surveillance videos from the static roadside cameras to assist solving the vehicle occlusion problem for more accurate traffic flow estimation and vehicle classification. The proposed...
Main Authors: | Kai-yi Cheng, 程凱驛 |
---|---|
Other Authors: | Po-chyi Su |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/90511464225852245271 |
Similar Items
-
Adaptive Traffic Scene Analysis by using Implicit Shape Model
by: Kai-kai Hsu, et al.
Published: (2010) -
An Adaptive Vehicle Detection Scheme for Urban Traffic Scenes based on Convolutional Neural Networks
by: Dao-Wei Yang, et al.
Published: (2018) -
Specifics of the traffic scene identification problem observed at level crossings, analysed from the train driver’s perspective
by: Jakub Młyńczak, et al.
Published: (2021-06-01) -
Microscopic Motorcycle Discharging Model at Mixed Traffic Flow Signalized Intersections
by: Hoi-Kin Cheng, et al.
Published: (2014) -
Impact of aerosols on scene collection and scene correction
by: Quinn, Kevin M.
Published: (2012)