[HTML][HTML] Pedestrian detection and tracking system based on deep-sort, yolov5, and new data association metrics

M Razzok, A Badri, I El Mourabit, Y Ruichek, A Sahel - Information, 2023 - mdpi.com
Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

Lane-level and full-Cycle Multi-Vehicle Tracking Using Low-channel Roadside LiDAR

H Liu, C Lin, B Gong, H Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The ability to track multiple objects is crucial for roadside units to provide high-precision,
trajectory-based traffic data, especially for connected vehicles that require complementary …

[HTML][HTML] Performance analysis of the YOLOv4 algorithm for pavement damage image detection with different embedding positions of CBAM modules

L Li, B Fang, J Zhu - Applied Sciences, 2022 - mdpi.com
One of the most critical tasks for pavement maintenance and road safety is the rapid and
correct identification and classification of asphalt pavement damages. Nowadays, deep …

Multi-view data fusion in multi-object tracking with probability density-based ordered weighted aggregation

A Dadgar, Y Baleghi, M Ezoji - Optik, 2022 - Elsevier
In this paper, a method is presented for Multi-Object Tracking (MOT) in presence of partial or
complete occlusions. This work focuses on improved object detection and data association …

[HTML][HTML] Pedestrian walking speed monitoring at street scale by an in-flight drone

D Jiao, T Fei - PeerJ Computer Science, 2023 - peerj.com
The walking speed of pedestrians is not only a reflection of one's physiological condition
and health status but also a key parameter in the evaluation of the service level of urban …

Enhanced lightweight deep network for efficient livestock detection in grazing areas

X Du, Y Qi, J Zhu, Y Li, L Liu - International Journal of …, 2024 - journals.sagepub.com
There are problems in the special pastoral environment, including large changes in target
size and serious interference from light and environmental factors. To solve the above …

An Improved Kuhn Munkres Algorithm for Ship Matching in Optical Satellite Images

S Liu, C Qu, M Xu, J Wan, H Sheng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Ship matching based on multiple satellite images can effectively grasp the trajectories of the
ship with long time intervals, providing technical support for marine regulation and …

[PDF][PDF] Research on multi-target data association of the infrared fish-eye warning system

Y Zhou, D Fang, J Li, B Zhang, M Hao, J Liu - Heliyon, 2023 - cell.com
The multi-target data association method is studied in order to realize multi-target tracking in
infrared fish-eye warning system. The Neural Joint Probabilistic Data Association (NJPDA) …

[PDF][PDF] Pedestrian Detection and Tracking System Based on Deep-SORT, YOLOv5, and New Data Association Metrics. Information 2023, 14, 218

M Razzok, A Badri, I El Mourabit, Y Ruichek, A Sahel - 2023 - academia.edu
Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

Real-Time Pedestrian Detection and Tracking System Using Deep Learning and Kalman filter: Applications on Embedded Systems in Advanced Driver Assistance …

DR Bruno, FS Osório - … on Robotics (SBR), and 2023 Workshop …, 2023 - ieeexplore.ieee.org
In this paper, we present a perception system for assisting robotic vehicles in smart cities,
facilitating interaction with pedestrians, cyclists, and other motor vehicles while adhering to …