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Analysis Based on Recent Deep Learning Approaches Applied in Real-Time Multi-Object Tracking: A Review
2021
IEEE Access
The deep learning technique has proven to be effective in the classification and localization of objects on the image or ground plane over time. The strength of the technique's features has enabled researchers to analyze object trajectories across multiple cameras for online multi-object tracking (MOT) systems. In the past five years, these technical features have gained a reputation in handling several real-time multiple object tracking challenges. This contributed to the increasing number of
doi:10.1109/access.2021.3060821
fatcat:ummv6sm4czhgjfffdbwx5lomfm