[PDF][PDF] Efficient Object Detection and Classification Approach Using HTYOLOV4 and M2RFO-CNN.

V Arulalan, D Kumar - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
Object detection and classification are the trending research topics in the field of computer
vision because of their applications like visual surveillance. However, the vision-based …

Empirical analysis of feature reduction in deep learning and conventional methods for foot image classification

J Jaruenpunyasak, R Duangsoithong - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning algorithms are employed in many applications, especially in medical fields
such as gait analysis and human pose detection for rehabilitation. However, creating the …

Ground control point automatic extraction for spaceborne georeferencing based on FPGA

D Liu, G Zhou, D Zhang, X Zhou… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Feature points that are obtained from the combined speeded-up robust feature (SURF)
detector and binary robust independent elementary features (BRIEF) descriptor have a …

[图书][B] On-board Processing for Satellite Remote Sensing Images

G Zhou - 2023 - taylorfrancis.com
Onboard image processing systems are used to maximize image data transmission
efficiency for large volumes of data gathered by Earth observation satellites. This book …

Effective Digital Image Watermark Detection Technique based on Tamura Texture Features

IT Ahmed, MM Rasheed… - 2023 9th International …, 2023 - ieeexplore.ieee.org
One technique for limiting unauthorized changes to digital images is image watermarking.
However, there are a variety of challenges with these techniques, including a poor detection …

Deep learning method based binary descriptor for object detection

R Rani, R Kumar, AP Singh - … of ICETIT 2019: Emerging Trends in …, 2020 - Springer
The wide applications of the object detection techniques in the domains like video
surveillance, security, military, automated industry tasks, biometrics has attracted the interest …