Tracking Keypoints from Consecutive Video Frames Using CNN Features for Space Applications

Tracking Keypoints from Consecutive Video Frames Using CNN Features for Space Applications

Hard time constraints in space missions bring in the problem of fast video processing for numerous autonomous tasks. Video processing involves the separation of distinct image frames, fetching image descriptors, applying different machine learning algorithms for object detection, obstacle avoidance,...

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Bibliographic Details
Main Authors: Janhavi Borse*, Dipti Patil, Vinod Kumar
Format: Article
Language:English
Published: University North 2021-01-01
Series:Tehnički Glasnik
Subjects:
artificial intelligence
convolutional neural network
feature descriptor
machine learning
space missions
Online Access:https://hrcak.srce.hr/file/367604

Internet

https://hrcak.srce.hr/file/367604

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