A real-time tracking algorithm for multi-target UAV based on deep learning

T Hong, H Liang, Q Yang, L Fang, M Kadoch… - Remote Sensing, 2022 - mdpi.com
UAV technology is a basic technology aiming to help realize smart living and the
construction of smart cities. Its vigorous development in recent years has also increased the …

Seeing through a new lens: exploring the potential of city walking tour videos for urban analytics

MC Hartmann, RS Purves - International Journal of Digital Earth, 2023 - Taylor & Francis
ABSTRACT City Walking Tour Videos (CWTVs) are a novel source of Volunteered
Geographic Information providing street-level imagery through video sharing platforms such …

[PDF][PDF] 典型汽车碰撞事故场景中行人运动轨迹预测方法

韩勇, 林旭洁, 黄红武, 蔡鸿瑜, 罗金镕, 李燕婷 - 汽车工程, 2023 - qichegongcheng.com
为提高未来自动驾驶车辆对弱势道路使用群体的感知和决策融合的可靠性,
本文提出一种基于目标检测算法(YOLOv5), 多目标跟踪算法(Deep-Sort) 和社交长短时记忆神经 …

A real-time intelligent monitoring method for indoor evacuee distribution based on deep learning and spatial division

L Han, H Feng, G Liu, A Zhang, T Han - Journal of Building Engineering, 2024 - Elsevier
Providing real-time and detailed indoor evacuee distribution information is of great
significance for the on-site formulating and dynamic adjustment of indoor emergency …

深度学习在动物行为分析中的应用研究进展.

申通, 王硕, 李孟, 秦伦明 - Journal of Frontiers of Computer …, 2024 - search.ebscohost.com
近年来动物行为分析已成为脑科学与人工智能等领域的重要研究手段之一,
研究者基于深度学习的图像分析技术, 构建了自动化, 智能化的动物行为分析方法 …

Research on intelligent search-and-secure technology in accelerator hazardous areas based on machine vision

YL Ma, Y Wang, HM Shi, HJ Zhang - Nuclear Science and Techniques, 2024 - Springer
Prompt radiation emitted during accelerator operation poses a significant health risk,
necessitating a thorough search and securing of hazardous areas prior to initiation …

Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring

T Fukuda, I Arai, A Endo, M Kakiuchi… - … Conference on Smart …, 2023 - ieeexplore.ieee.org
Sidewalks should be developed and integrated into city planning for economic growth and
livability. And it is necessary to obtain data on pedestrians. One type of pedestrian data …

Person Following with Dynamic Obstacle Avoidance

L Kong, G Jiang, Y Tang, Y Ou… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Person following is essential for many human-robot interaction applications. However, many
existing person-following methods do not consider obstacles that have a serious impact on …

A Video-Based Real-Time Tracking Method for Multiple UAVs in Foggy Weather

J Dai, L Wu, P Wang - Electronics, 2022 - mdpi.com
Aiming at the real-time tracking problem of multiple unmanned aerial vehicles (UAVs) based
on video under fog conditions, we propose a multitarget real-time tracking method that …

Calling Behavior Detection Of Port Truck Drivers Based On Deep Learning

J He, Y Wu, J Xiao - 2022 21st International Symposium on …, 2022 - ieeexplore.ieee.org
Due to the lack of a rigorous evaluation model in the traditional detection method of driver's
illegal answering phone calls, it is difficult to meet the identification needs of truck drivers …