A survey on object detection in optical remote sensing images

G Cheng, J Han - ISPRS journal of photogrammetry and remote sensing, 2016 - Elsevier
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

Last decade in vehicle detection and classification: a comprehensive survey

S Maity, A Bhattacharyya, PK Singh, M Kumar… - … Methods in Engineering, 2022 - Springer
Due to the ever increasing traffic on roads, there has been a pressing need for Automatic
Vehicle Detection (AVD) systems, so that the real-time traffic can be observed as well as …

Detecting and tracking small and dense moving objects in satellite videos: A benchmark

Q Yin, Q Hu, H Liu, F Zhang, Y Wang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …

Toward fast and accurate vehicle detection in aerial images using coupled region-based convolutional neural networks

Z Deng, H Sun, S Zhou, J Zhao… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Vehicle detection in aerial images, being an interesting but challenging problem, plays an
important role for a wide range of applications. Traditional methods are based on sliding …

Arbitrary-oriented vehicle detection in aerial imagery with single convolutional neural networks

T Tang, S Zhou, Z Deng, L Lei, H Zou - Remote Sensing, 2017 - mdpi.com
Vehicle detection with orientation estimation in aerial images has received widespread
interest as it is important for intelligent traffic management. This is a challenging task, not …

Vehicle detection in high-resolution aerial images via sparse representation and superpixels

Z Chen, C Wang, C Wen, X Teng… - … on Geoscience and …, 2015 - ieeexplore.ieee.org
This paper presents a study of vehicle detection from high-resolution aerial images. In this
paper, a superpixel segmentation method designed for aerial images is proposed to control …

[HTML][HTML] A novel approach in real-time vehicle detection and tracking using Raspberry Pi

M Anandhalli, VP Baligar - Alexandria engineering journal, 2018 - Elsevier
Real-time vehicle detection, tracking and counting of vehicles is of great interest for
researchers and is a need of the society in general for comfortable, smooth and safe …

Deep learning-based parking occupancy detection framework using ResNet and VGG-16

N Thakur, E Bhattacharjee, R Jain, B Acharya… - Multimedia Tools and …, 2024 - Springer
The rise in traffic congestion today has necessitated growing research and development in
parking management systems to provide real-time indications of the occupancy of indoor …

Efficient vehicle detection and tracking strategy in aerial videos by employing morphological operations and feature points motion analysis

A Gomaa, MM Abdelwahab, M Abo-Zahhad - Multimedia Tools and …, 2020 - Springer
Real-time automatic detection and tracking of moving vehicles in videos acquired by
airborne cameras is a challenging problem due to vehicle occlusion, camera movement …

Bounding box-free instance segmentation using semi-supervised iterative learning for vehicle detection

OLF de Carvalho… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Vehicle classification is a hot computer vision topic, with studies ranging from ground-view to
top-view imagery. Top-view images allow understanding city patterns, traffic management …