Nature

Re-identification assistance and multi-stage association for pedestrian multi-object tracking

Multi-object tracking (MOT) is a highly challenging task in computer vision that aims to estimate the motion trajectories of objects in a video. Optimizing the performance of MOT algorithms can ...
Nature

Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects

Multi-object tracking (MOT) in cluttered and dynamic environments remains challenging, especially for maneuvering objects. While trajectory-based random finite set (RFS) filters provide principled ...
BGR

Meta's New AI Model Can Track Any Object In A Picture Or Video

One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...
Phys.org

Researchers detect and classify multiple objects without images

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 ...