Multi-scale adversarial network for vehicle detection in UAV imagery
Abstract Vehicle detection in Unmanned Aerial Vehicle (UAV) imagery plays a crucial role in
a variety of applications. However, UAVs are usually small, very maneuverable, and can …
a variety of applications. However, UAVs are usually small, very maneuverable, and can …
Object detection and tracking with UAV data using deep learning
UAVs have been deployed in various object tracking applications such as disaster
management, traffic monitoring, wildlife monitoring and crowd management. Recently …
management, traffic monitoring, wildlife monitoring and crowd management. Recently …
Sompt22: A surveillance oriented multi-pedestrian tracking dataset
FE Simsek, C Cigla, K Kayabol - European Conference on Computer …, 2022 - Springer
Multi-object tracking (MOT) has been dominated by the use of track by detection approaches
due to the success of convolutional neural networks (CNNs) on detection in the last decade …
due to the success of convolutional neural networks (CNNs) on detection in the last decade …
Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters
While discriminative correlation filter based tracking algorithms have achieved competitive
results and demonstrated successfully, there still remain some challenges, such as handling …
results and demonstrated successfully, there still remain some challenges, such as handling …
Real-time face tracking and recognition system using Kanade-Lucas-Tomasi and two-dimensional principal component analysis
NH Barnouti, MHN Al-Mayyahi… - … on Advanced Science …, 2018 - ieeexplore.ieee.org
In this paper, a system for face tracking and recognition in a video sequence is proposed
based on KLT (Kanade-Lucas-Tomasi) tracker and 2DPCA (Two-Dimensional principal …
based on KLT (Kanade-Lucas-Tomasi) tracker and 2DPCA (Two-Dimensional principal …
Robust vision-based displacement measurement and acceleration estimation using RANSAC and Kalman filter
Computer vision (CV)-based techniques have been widely used in the field of structural
health monitoring (SHM) owing to ease of installation and cost-effectiveness for …
health monitoring (SHM) owing to ease of installation and cost-effectiveness for …
A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT
This study combined SIFT and SSA to propose a novel algorithm for real-time object
tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified …
tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified …
Hybrid IMU-aided approach for optimized visual odometry
Autonomous navigation of unmanned vehicles in GPS-denied environments is a
challenging problem, especially for small ground vehicles and micro aerial vehicles (MAVs) …
challenging problem, especially for small ground vehicles and micro aerial vehicles (MAVs) …
Comparative analysis of SIFT and SURF on KLT tracker for UAV applications
In many fields, unmanned aerial vehicles (UAVs) is used, particularly in transportation. This
paper is attempts to find out the efficiency of SIFT and SURF features on a semiautomatic …
paper is attempts to find out the efficiency of SIFT and SURF features on a semiautomatic …
Robust tracking of moving objects using thermal camera and speeded up robust features descriptor
N Vlahović, Z Djurovic - … Journal of Adaptive Control and Signal …, 2021 - Wiley Online Library
Robust methods based on nonlinear influence functions are often used to remove outliers
from data. The article describes the design of an algorithm for tracking a moving object in a …
from data. The article describes the design of an algorithm for tracking a moving object in a …