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[HTML][HTML] Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey
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 …
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 …
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 …
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 …
commonsense applications such as traffic monitoring, robotics, autonomous vehicle …
A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
Pedestrian detection using a moving camera: A novel framework for foreground detection
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 …
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
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 …
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
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 …
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 …
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 …
the pedestrian pose recognition and lateral speed, motion direction and spatial layout of the …