Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …

Object detection plays an important role in the field of remote sensing imagery analysis. The
most challenging issues in advancing this task are the large variation in object scales and …

This paper presents an automatic solution to the problem of detecting and counting cars in
unmanned aerial vehicle (UAV) images. This is a challenging task given the very high …

Detecting vehicles in aerial imagery plays an important role in a wide range of applications.
The current vehicle detection methods are mostly based on sliding-window search and …

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Detecting vehicles in aerial images provides important information for traffic management
and urban planning. Detecting the cars in the images is challenging due to the relatively …

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 …

Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …

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 …

This paper presents a new method for the automatic detection of cars in unmanned aerial
vehicle (UAV) images acquired over urban contexts. UAV images are characterized by an …