OSTM-NET: Joint scale variation and occlusion handling deep network for real-time vehicle counting and volume estimation

Author:

Sasikala S.ORCID,Neelaveni R.,Jose P. Sweety

Publisher

Elsevier BV

Reference25 articles.

1. Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: recent advances and challenges;Outay;Transp. Res. part A: policy Pract.,2020

2. A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways;Azimjonov;Adv. Eng. Inform.,2021

3. A vision-based pipeline for vehicle counting, speed estimation, and classification;Liu;IEEE Trans. Intell. Transp. Syst.,2020

4. Advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video;Ke;IET Intell. Transp. Syst.,2020

5. Counting vehicles with deep learning in onboarduav imagery;Amato,2019

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