Professor Andrey Baranov of the Engineering Academy at Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN) has developed algorithms that enable the rapid determination of a ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

When ‘Oumuamua passed through the solar system, it left scientists with more questions than answers. Now, new observations suggest it may not have been unique. Researchers are identifying objects with ...

This repository provides a Re-Identification (Re-ID) post-processing algorithm designed to enhance Multi-Object Tracking (MOT) pipelines. It is specifically intended to pair with Ultralytics YOLO ...

Japanese firms Toshiba and MIRISE Technologies have demonstrated a breakthrough in autonomous mobility. The firms have embedded Toshiba’s Simulated Bifurcation Machine (SBM), a quantum-inspired ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Abstract: In order to cope with the track-to-track association (T2TA) problem under large sensor bias, and dense objects, this letter proposes a T2TA algorithm based on two alternating triangle and ...

motcpp is a high-performance, production-ready C++ library for multi-object tracking. It provides state-of-the-art tracking algorithms with a clean, modern C++17 API designed for real-time ...

As more nations and private companies turn their sights toward the Moon, the region between Earth and lunar orbit has become a frontier of opportunity, risk, and strategic competition. Now, the U.S.

Researchers have developed a new algorithm that can help multiple drones work together to control and transport heavy payloads. Developed by scientists at TU Delft, the algorithm can help perform ...