Trajectory based vehicle counting and anomalous event visualization in smart cities
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0885-5
Abstract: Motion pattern analysis can be performed automatically on the basis of object trajectories by means of tracking videos; an effective approach to analyse and to model the traffic behaviour; is important to describe motion by… read more here.
Keywords: trajectory; based vehicle; vehicle; vehicle counting ... See more keywords
Real-Time Moving Vehicle Counting and Speed Estimation Toward Efficient Traffic Surveillance
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DOI: 10.1109/access.2025.3540950
Abstract: This paper presents a Spatial-Temporal Diagram (STD) algorithm for real-time vehicle counting and speed estimation in camera-based traffic surveillance. The algorithm consists of four main steps: STD graph generation highlighting vehicles as peaks, graph refinement… read more here.
Keywords: counting speed; real time; speed estimation; vehicle counting ... See more keywords
Time-Spatial Multiscale Net for Vehicle Counting and Traffic Volume Estimation
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DOI: 10.1109/tcds.2021.3073694
Abstract: Vehicle counting and traffic volume estimation on traffic videos are challenging tasks for traffic monitoring and management. Most previous methods are based on a process of vehicle detection and tracking or a process of time-spatial… read more here.
Keywords: traffic volume; vehicle counting; traffic; volume estimation ... See more keywords
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression
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DOI: 10.1109/tcsvt.2017.2761992
Abstract: Counting on-road vehicles in the highway is fundamental for intelligent transportation management. This paper presents the first highway vehicle counting method in compressed domain, aiming at achieving comparable estimation performance with the pixel-domain methods. Counting… read more here.
Keywords: compressed domain; vehicle counting; highway vehicle; regression ... See more keywords
Vehicle Counting in Very Low-Resolution Aerial Images via Cross-Resolution Spatial Consistency and Intraresolution Time Continuity
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DOI: 10.1109/tgrs.2022.3174815
Abstract: Vehicle counting is important for smart city applications such as logistics management, traffic estimation, and financial analysis. To perform vehicle counting using aerial images, researchers have proposed many algorithms, including detection-, regression-, and density-based methods.… read more here.
Keywords: cross resolution; low resolution; vehicle counting; resolution ... See more keywords