03 SPIP20141468 Conteo vehículos imágenes congestión Roberto López UAH [Modo de ... · 2019....

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Grupo de Reconocimiento y Análisis Multisensorial

CONTEO PRECISO DE VEHÍCULOS PARA SITUACIONES DE ALTA CONGESTIÓN EN IMÁGENES DE

VIDEOVIGILANCIA DE TRÁFICOProyecto Financiado por la DGT

Convocatoria 2014

Our research group

• Computer Vision Lab

• We focus on 2 subareas of interest for the DGT:

• Intelligent Transportation Systems

• Smart Solutions for Traffic Monitoring and Video Surveillance

Intelligent Transportation Systems

• Automatic traffic-sign maintenance

Intelligent Transportation Systems

• Visual driver assistance

Intelligent Transportation Systems

• Automatic traffic sign inventory (with georeferencing)

Smart Solutions for Traffic Monitoring and Video Surveillance

• Advanced solutions for category-level object detection in real scenarios

• Complex scene interpretations (semantic level)• Final applications:

• Advanced parking area monitoring• Real-time vehicle tracking for on-board

applications• Advanced multi-vehicle tracking/counting

solutions for urban and interurban scenarios• Precise Traffic congestion monitoring

Smart Solutions for Traffic Monitoring and Video Surveillance

• Advanced multi-vehicle tracking/counting solutions for urban and interurban scenarios

• Real-time vehicle (type) counting

Smart Solutions for Traffic Monitoring and Video Surveillance

• Advanced multi-vehicle tracking/counting solutions for urban and interurban scenarios

• Multi-vehicle tracking with pose estimation

• GRAM Road Traffic Monitoring Dataset released!• 3 challenging video sequences• More than 700 unique vehicles to identify

DGT Project

CONTEO PRECISO DE VEHÍCULOS PARA SITUACIONES DE ALTA CONGESTIÓN EN

IMÁGENES DE VIDEOVIGILANCIA DE TRÁFICO

Precise traffic congestion monitorization

Main objective

• Main idea of the project

Precise traffic congestion estimation

Results DGT Project

• This information can enrich the information provided by the DGT cameras

Precise traffic congestion estimation

Technical solution

• Our models precisely estimate the number of vehicles on the road

• We design (advanced) deep learning technology to estimate the level of congestion

Precise traffic congestion estimation

Technical solution

Precise traffic congestion estimation

Results DGT Project

• We provide qualitative results in a novel dataset TRANCOS – Traffic and Congestion

1244 images – 46796 vehicles

Precise traffic congestion estimation

Results DGT Project

• We provide qualitative results in a novel dataset TRANCOS – Traffic and Congestion

Precise traffic congestion estimation

Results DGT Project

• Other datasets/applications: monitoring crowds

Precise traffic congestion estimation

Results DGT Project

• Other datasets/applications: monitoring crowds

• Videos

• Videos

Precise traffic congestion estimation

Results DGT Project

• We provide an online (live) demo to try our solutions

http://roadanalysis.uah.es/dgt/

Precise traffic congestion estimation

Results DGT Project

• We provide an online (live) demo to try our solutions

http://roadanalysis.uah.es/dgt/

Precise traffic congestion estimation

Results DGT Project

Precise traffic congestion estimation

Results DGT Project

• Scientific production

– 2 journal papers

– 3 conference papers

– 1 PhD thesis + 1 started

• Funding for 1 postdoc + 1 PhD student

• Web of the project

http://agamenon.tsc.uah.es/Investigacion/gram/projects/dgt2014/index.html

New project DGT 2015!!!

SIRI: Supervisión Inteligente para los sistemas de Retención Infantil

gram@uah.es

Follow us in Twitter @gramuah

https://twitter.com/GRAMUAH

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