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 …

[HTML][HTML] Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques

M Sukkar, M Shukla, D Kumar, VC Gerogiannis… - Information, 2024 - mdpi.com
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

[HTML][HTML] Pedestrian detection using a MEMS acoustic array mounted on a moving vehicle

A Izquierdo, L del Val, JJ Villacorta - Sensors and Actuators A: Physical, 2024 - Elsevier
Automatic pedestrian detection in a vehicle is of vital importance in Advanced Driver
Assistance Systems (ADAS). Sensors currently used are based on cameras, radars and …

[HTML][HTML] Bioinspired Garra Rufa optimization-assisted deep learning model for object classification on pedestrian walkways

E Yang, K Shankar, S Kumar, C Seo - Biomimetics, 2023 - mdpi.com
Object detection in pedestrian walkways is a crucial area of research that is widely used to
improve the safety of pedestrians. It is not only challenging but also a tedious process to …

[HTML][HTML] Pedestrian positioning using an enhanced ensemble transform Kalman filter

K Sung - Sensors, 2023 - mdpi.com
Due to the unavailability of GPS indoors, various indoor pedestrian positioning approaches
have been designed to estimate the position of the user leveraging sensory data measured …

Truck Detection and Counting in Low-Light Condition: Do We Need Infrared Camera?

J Yoo, SH Kim, K Sukhani, MS Yoo… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Conventional visual traffic analysis methods face challenges in achieving accurate and cost-
effective monitoring of truck movements, especially in adverse conditions (bad weather or …

[HTML][HTML] Real-time pose estimation and motion tracking for motion performance using deep learning models

L Liu, Y Dai, Z Liu - Journal of Intelligent Systems, 2024 - degruyter.com
With the refinement and scientificization of sports training, the demand for sports
performance analysis in the field of sports has gradually become prominent. In response to …

Integrating YOLOv8-agri and DeepSORT for Advanced Motion Detection in Agriculture and Fisheries

H Duong-Trung, N Duong-Trung - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
This paper integrates the YOLOv8-agri models with the DeepSORT algorithm to advance
object detection and tracking in the agricultural and fisheries sectors. We address the current …

Object Detection, Tracking, and Prediction Analysis System for Sports Performance and Coaching

S Jagtap, NB Chopade, V Deshmukh… - 2023 7th …, 2023 - ieeexplore.ieee.org
Object detection and tracking systems have diverse real-world applications, including
surveillance and security, autonomous vehicles, robotics, sports analysis, and medical …

An Improved Hybrid Model for Target Detection

U Gupta, R Golash, V Vats… - … Conference on Emerging …, 2023 - ieeexplore.ieee.org
Target Detection has entered into various practical implementations in various fields,
including healthcare, military and defense, autonomous driving, pedestrian detection …