[HTML][HTML] Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey

S Ahmed, MN Huda, S Rajbhandari, C Saha… - Applied Sciences, 2019 - mdpi.com
As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

Object tracking methods: A review

Z Soleimanitaleb, MA Keyvanrad… - 2019 9th International …, 2019 - ieeexplore.ieee.org
Object tracking is one of the most important tasks in computer vision that has many practical
applications such as traffic monitoring, robotics, autonomous vehicle tracking, and so on …

Real-time obstacles detection and status classification for collision warning in a vehicle active safety system

W Song, Y Yang, M Fu, F Qiu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents real-time obstacles detection and their status classification method for
collision warning in the vehicle active safety system. Specifically, stereo cameras and …

Single object tracking: A survey of methods, datasets, and evaluation metrics

Z Soleimanitaleb, MA Keyvanrad - arxiv preprint arxiv:2201.13066, 2022 - arxiv.org
Object tracking is one of the foremost assignments in computer vision that has numerous
commonsense applications such as traffic monitoring, robotics, autonomous vehicle …

A deep survey on supervised learning based human detection and activity classification methods

MA Khan, M Mittal, LM Goyal, S Roy - Multimedia Tools and Applications, 2021 - Springer
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Pedestrian detection using a moving camera: A novel framework for foreground detection

AB Khalifa, I Alouani, MA Mahjoub… - Cognitive Systems …, 2020 - Elsevier
While background subtraction techniques have been widely applied to detect moving
objects in a video stream captured by a static camera, detecting moving objects using a …

HazARdSnap: gazed-based augmentation delivery for safe information access while cycling

G Zhao, J Orlosky, J Gabbard… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
During cycling activities, cyclists often monitor a variety of information such as heart rate,
distance, and navigation using a bike-mounted phone or cyclocomputer. In many cases …

Fusion of thermal infrared and visible spectra for robust moving object detection

E Fendri, RR Boukhriss, M Hammami - Pattern Analysis and Applications, 2017 - Springer
The detection of moving objects is a crucial step for many video surveillance applications
whether using a visible camera (VIS) or an infrared (IR) one. In order to profit from both …

A traffic prediction model based on multiple factors

J Wang, Q Chen - The Journal of Supercomputing, 2021 - Springer
Traffic prediction is a vital part of intelligent transportation systems. The ability of traffic risk
prediction is of great significance to prevent traffic accidents and reduce the damages in a …

Detection of pedestrian crossing road: A study on pedestrian pose recognition

J Hariyono, KH Jo - Neurocomputing, 2017 - Elsevier
Detection of pedestrian crossing road is the objective of this work. The model incorporates
the pedestrian pose recognition and lateral speed, motion direction and spatial layout of the …