Abstract: Multiple Object Tracking (MOT) is a fundamental and challenging task in the field of computer vision. Recently, the MOT community has turned its attention from the tracking-by-detection ...

BOWLING GREEN, Ky. (WBKO) - Monday was a beautiful day, so I hope that you were able to enjoy it! We will see mostly cloudy skies today with the chance of a few very isolated showers around lunchtime ...

This important study introduces an advance in multi-animal tracking by reframing identity assignment as a self-supervised contrastive representation learning problem. It eliminates the need for ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

Oct 18, 2025; Lexington, Kentucky, USA; Texas Longhorns head coach Steve Sarkisian is interviewed by the media after the game against the Kentucky Wildcats at Kroger Field. Mandatory Credit: Jordan ...

Markets respond to information faster than anything else, and most of that information begins with a headline. An earnings update, a regulatory note, a product issue, even a short line from an analyst ...

Multi-object tracking system for retail environments using YOLOv12, BoT-SORT, and homography-based cross-camera re-identification. Features post-processing heuristics and spatiotemporal matching for ...

This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi-object ...

Two years after the Hamas-led attacks on Israel of October 7, 2023, the enduring violent aftermath of the attacks has given rise to multiple international legal proceedings, illustrating both the ...

This is read by an automated voice. Please report any issues or inconsistencies here. Federal agents detained multiple protesters Friday at an ICE facility near Chicago amid growing pushback to ...

Abstract: Multi-Object Tracking (MOT) has been a long-standing challenge in video understanding. A natural and intuitive approach is to split this task into two parts: object detection and association ...