Object Detection Based on Vision Sensors and Neural Network

This Special Issue reprint provides an overview of object detection in images and videos, with a focus on addressing the resource constraints of lightweight vision sensors. Object detection has long been a key research area in computer vision. It is now gaining increasing attention from both academia and industry, driven by the rapid advancement of deep neural networks (DNNs) and high-resolution vision sensors. While DNNs have achieved remarkable success in recent years, they are becoming increasingly complex, with deeper network structures and larger training datasets. This growing complexity poses a challenge for deploying computationally and data-intensive DNNs on resource-limited vision sensors, particularly for real-time object detection.

Product details

• Publisher: Mdpi Ag
• Languages: English
• Product format: Hardback
• Released: 27.03.2025
• EAN: 9783725836598
• ISBN: 978-3-7258-3659-8
• No. of pages: 270
• Dimensions: 175 mm x 250 mm x 22 mm
• Weight: 875 g
• Subject: Natural sciences, medicine, IT, technology > Chemistry > General, dictionaries