As the team explains, most existing methods employ multiple models to track objects: (1 ... data set compiled from six public corpora for human detection and search: ETH, CityPerson, CalTech ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

How do we assess the needs of people with severe multiple ... towards human and socially salient stimuli or the ability to direct one's attention towards the object that another person is looking ...