Movement Detection Based on Dense Optical Flow for Unmanned Aerial Vehicles
نویسندگان
چکیده
منابع مشابه
Movement Detection Based on Dense Optical Flow for Unmanned Aerial Vehicles
In this paper we present a novel computer vision-based movement detection algorithm which can be used for applications, such as human detection with unmanned aerial vehicles. The algorithm uses the deviation of all pixels from the anticipated geometry between 2 or more succeeding images to distinguish between moving and static scenes. This assumption is valid because only pixels which correspon...
متن کاملdesigning unmanned aerial vehicle based on neuro-fuzzy systems
در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...
Reconfigurable Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) have been developing dramatically due to wars and miniaturisation of technology, which has made the UAV industry a very lucrative business. Research organisations have been funded by various research committees or military groups to push UAV developments at a very fast pace. Although these UAVs are high in capability, they are limited to a single use application ...
متن کاملAutonomous Unmanned Aerial Vehicles
This report presents a technology warning assessment based on National Academies' methodology. The particular technology area analyzed relates to fully autonomous unmanned aerial vehicles (AUAVs) from the perspective of the United States government with the objective to assess AUAV technology with the goal of strongly enabling, promoting and increasing economic growth. Focus The scope of this r...
متن کاملReal-Time Object Detection for Unmanned Aerial Vehicles based on Cloud-based Convolutional Neural Networks
Real-time object detection is crucial for many applications of Unmanned Aerial Vehicles (UAVs) such as reconnaissance and surveillance, search-and-rescue, and infrastructure inspection. In the last few years, Convolutional Neural Networks (CNNs) have emerged as a powerful class of models for recognizing image content, and are widely considered in the computer vision community to be the de facto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Robotic Systems
سال: 2013
ISSN: 1729-8814,1729-8814
DOI: 10.5772/52764