Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information

Author:

Liu Yuming1,Zhang Xiaochun1,Zhang Bingzhen1,Zhang Xiaoyong1,Wang Sen1,Xu Jianrong1

Affiliation:

1. Shenzhen Urban Transport Planning Center Co., Ltd.,Shenzhen,China

Publisher

IEEE

Reference30 articles.

1. Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification

2. TransReID: Transformer-based Object Re-Identification

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4. The MTA Dataset for Multi Target Multi Camera Pedestrian Tracking by Weighted Distance Aggregation

5. City-scale multi-camera vehicle tracking guided by crossroad zones;liu;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2021

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1. Object Detection in Traffic Videos: A Survey;IEEE Transactions on Intelligent Transportation Systems;2023-07

2. Orientation-based Feature Aggregation for Multi-Target Multi-Camera Tracking;2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS);2023-05-08

3. Multi-Object Multi-Camera Tracking Based on Deep Learning for Intelligent Transportation: A Review;Sensors;2023-04-10

4. Enhanced Vehicle Re-Identification for Smart City Applications Using Zone Specific Surveillance;IEEE Access;2023

5. The 6th AI City Challenge;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2022-06

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