Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …

The walkability of urban streets (WoUS) benefits public health and urban livability, but there
is still no consensus on the quantitative and comprehensive evaluation of walkability …

Street vitality has become an essential indicator for evaluating the attractiveness and
potential of the sustainable development of urban blocks, and it can be reflected by the type …

Pedestrian tracking is an important aspect of autonomous vehicles environment perception
in a vehicle running environment. The performance of the existing pedestrian tracking …

Guaranteeing real-time and accurate object detection simultaneously is paramount in
autonomous driving environments. However, the existing object detection neural network …

A deep learning algorithm tracks an object's movement during object tracking and the main
challenge in the tracking of objects is to estimate or forecast the locations and other pertinent …

Detecting and tracking multiple objects from unmanned aerial vehicle (UAV) videos is an
high challenging task in a wide range of practical applications. Almost all traditional trackers …

본 연구의 목적은 항공 및 위성영상을 활용한 토지피복 관련 인공지능 학습 데이터를 구축, 검증
및 알고리즘 적용의 효율화 방안을 연구하였다. 이를 위하여 토지피복 8 개 항목에 대하여 …

RGB-thermal (RGB-T) tracking using unmanned aerial vehicles (UAVs) involves challenges
with regards to the similarity of objects, occlusion, fast motion, and motion blur, among other …

This research paper highlights the significance of vehicle detection in aerial images for
surveillance systems, focusing on deep learning methods that outperform traditional …