In essence, it takes the mundane task of tracking objects to an entirely new platform, enabling users to select an object on the fly and have the algorithm immediately start tracking something new.

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

As shown on the Multiple Object Tracking (MOT) Benchmark’s official website, Dahua Technology TRK Method set a world record and took the 1st place in multiple pedestrian tracking challenges on August ...

Analytical AI’s approach to the analysis of data sets allows detection of change in object location and ownership, along with a near real-time look back and forward capability that can track the ...

Hyderabad: An algorithm developed by a third-year engineering student from the International Institute of Information Technology, Hyderabad (IIITH) to detect flying objects —helicopters ...