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IEEE/ICACT20240469 Slide.05        [Big Slide]       [YouTube]	Oral Presentation
	With the development of Deep-learning(DL)-based Multi-object tracking (MOT), it has been widely utilized in many related real-life problems like Intelligent transportation, Video surveillance, autonomous driving, human-computer interaction. These applications also highlight the important academic significance of MOT. To accomplish the task of MOT, a common way is locating objects' position frame per frame first and associating them inter frames then. There, the tracking objects could be anything such as pedestrians, sports players, birds, dogs, vehicles, or all of the above.

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