A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences

N Aldahoul, HA Karim, AQM Sabri, MJT Tan… - IEEE …, 2022 - ieeexplore.ieee.org
Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …

A pedestrian detection and tracking framework for autonomous cars: Efficient fusion of camera and lidar data

MM Islam, AAR Newaz… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
This paper presents a novel method for pedestrian detection and tracking by fusing camera
and LiDAR sensor data. To deal with the challenges associated with the autonomous driving …

On-road obstacle detection in real time environment using an ensemble deep learning model

A Balasundaram, A Shaik, A Prasad… - Signal, Image and Video …, 2024 - Springer
Obstacle detection on road is a challenging task in autonomous vehicle driving. Although
obstacle detection is carried out with the help of sensors which are accurate and precise in …

A real time intelligent detection and counting method of cells based on YOLOv5

J Zhao, Y Cheng, X Ma - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Blood cell count plays an important role in the diagnosis and treatment of many diseases.
This paper proposes and implements a blood cell detection and count method based on …

Pedestrian Fall Event Detection in Complex Scenes Based on Attention‐Guided Neural Network

P Geng, H **e, H Shi, R Chen… - … Problems in Engineering, 2022 - Wiley Online Library
To address automatic detection of pedestrian fall events and provide feedback in emergency
situations, this paper proposes an attention‐guided real‐time and robust method for …

Detection of emotional states through the facial expressions of drivers embedded in a portable system dedicated to vehicles

E Zadobrischi, LM Cosovanu, M Negru… - 2020 28th …, 2020 - ieeexplore.ieee.org
The density of cars and the technological advance in the last decade of this century have
increased exponentially, reaching a point that creates various problems. The main cause of …

[PDF][PDF] Vehicle and pedestrian detection in traffic videos using Convolutional Neural Networks

P Arroba-Villacis, WM Pérez… - … Journal of STEAM, 2022 - knepublishing.com
One of the major applications of computer vision is the analysis of the traffic scene on the
road, and how pedestrian traffic affects traffic in general. Road sizes and traffic signals must …

Benefits of a portable warning system adaptable to vehicles dedicated for seat belts detection

E Zadobrischi, LM Cosovanu… - 2020 24th International …, 2020 - ieeexplore.ieee.org
Technological advancement and the density of cars endanger the safety of pedestrians and
drivers, which is an increasingly real concern that stimulates all areas in finding solutions …

Yolo Model for Durian Theft Detection in Night Vision

INE Indrayana¹, GB Subiksa, PM Prihatini… - Proceedings of the …, 2024 - books.google.com
Theft of durians is a prevalent issue in Indonesia, particularly in regions where durians are
cultivated. This results in substantial economic losses for durian farmers. Nocturnal robbers …

A Detailed Study on Obstacle Detection and Avoidance Techniques for On-road Vehicles

P Adhiyaman, A Balasundaram - … International Conference on …, 2022 - ieeexplore.ieee.org
Obstacle detection and avoidance are the important components of any autonomous land
vehicle. The ability of an autonomous system to safely maneuver from an obstacle must be …