A team of Microsoft and Huazhong University researchers this week open-sourced an AI object detector — Fair Multi-Object Tracking (FairMOT) — they claim outperforms state-of-the-art models on ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...

The ability to detect motion and track a moving object hidden around a corner or behind a ... Tonolini, F., Henderson, R. et al. Detection and tracking of moving objects hidden from view ...

Another paper, co-authored by master’s student Chang Won (John) Lee and Waslander, introduces UncertaintyTrack, a collection of extensions for 2D tracking-by-detection methods that leverages ...

Detection of the three-dimensional trajectory of an object based on a curved bionic compound eye. Optics Letters , 2019; 44 (17): 4143 DOI: 10.1364/OL.44.004143 Cite This Page : ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...