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GCEVT: Learning Global Context Embedding for Vehicle Tracking in Unmanned Aerial Vehicle Videos
IEEE Geoscience and Remote Sensing Letters, 2023Vehicle tracking in the unmanned aerial vehicle (UAV) videos is a fundamental but vital computer vision task. It mainly consists of two key components, that is, detection and reidentification (ReID). Recently, one-shot trackers, which integrate detection
Han Wu, Zhiwei He, Mingyu Gao
semanticscholar +1 more source
Multi-Camera Vehicle Tracking System for AI City Challenge 2022
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022Multi-Target Multi-Camera tracking is a fundamental task for intelligent traffic systems. The track 1 of AI City Challenge 2022 aims at the city-scale multi-camera vehicle tracking task.
Fei Li +6 more
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Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022With the demands of analyzing and predicting traffic flow for applications in smart cities, Multi-Target Multi-Camera vehicle Tracking(MTMCT) at the city scale has become a fundamental problem.
Yuming Liu +5 more
semanticscholar +1 more source
MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos
IEEE Transactions on Geoscience and Remote Sensing, 2021Recently, satellite videos provide a new way to dynamically monitor the Earth's surface. The interpretation of satellite videos has attracted more and more attentions.
Wenhua Zhang +5 more
semanticscholar +1 more source
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
With the demands of the intelligent city and city-scale traffic management, city-scale multi-camera vehicle tracking (MCVT) has become a vital problem.
Minghu Wu +3 more
semanticscholar +1 more source
With the demands of the intelligent city and city-scale traffic management, city-scale multi-camera vehicle tracking (MCVT) has become a vital problem.
Minghu Wu +3 more
semanticscholar +1 more source
Cloud Based Smart Vehicle Tracking System
2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE), 2021Cloud Computing is internet-based computing for Optimal Resource management Techniques (ORMT). A mobile cloud resource access in Vehicular Ad hoc Network (VANET) presents the resource speed predicting system, resource tracking, resource monitoring, and ...
T. T, S. R, Krishnaraj N
semanticscholar +1 more source
IEEE Sensors Letters, 2021
Vehicle tracking is one of the important applications of the wireless sensor network (WSN), and sensor scheduling is essential in WSN for achieving an efficient tracking process.
Teng Liang +5 more
semanticscholar +1 more source
Vehicle tracking is one of the important applications of the wireless sensor network (WSN), and sensor scheduling is essential in WSN for achieving an efficient tracking process.
Teng Liang +5 more
semanticscholar +1 more source
A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution
International Journal of Remote Sensing, 2021In this paper, a novel vehicle tracking and speed estimation method based on aerial videos is developed. The main objective of this research is to investigate how depth features of a vehicle extracted from aerial videos by a wide residual network could ...
Yuqing Chen +4 more
semanticscholar +1 more source
Vehicle Tracking based on an Improved DeepSORT Algorithm and the YOLOv4 Framework
2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021Vehicle tracking plays an important role in traffic surveillance systems in which efficient traffic management is the main objective. During the last several decades, with the rapid growth of the number of vehicles, the task of detecting and tracking ...
Imalie Perera +8 more
semanticscholar +1 more source
Computer Vision and Pattern Recognition, 2019
Urban traffic optimization using traffic cameras as sensors is driving the need to advance state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a city-scale traffic camera dataset consisting of more than 3 hours of ...
Zheng Tang +8 more
semanticscholar +1 more source
Urban traffic optimization using traffic cameras as sensors is driving the need to advance state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a city-scale traffic camera dataset consisting of more than 3 hours of ...
Zheng Tang +8 more
semanticscholar +1 more source