Open AccessTarget Tracking Algorithm Suitable for Fisheye Camera in Vehicle Environment
Author(s) -
Jinghua Dong,
Haiping Wei,
Hongjie Yu,
Tingting Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1584/1/012061
Subject(s) - computer vision , tracking (education) , computer science , zoom , artificial intelligence , tracking system , scale (ratio) , vehicle tracking system , algorithm , kalman filter , engineering , psychology , pedagogy , petroleum engineering , lens (geology) , physics , quantum mechanics
Moving target tracking is one of the core issues in the fields of automobile assisted driving and autonomous driving. This algorithm proposes a target tracking algorithm suitable for fisheye cameras in vehicle environment. A background point removal method based on median ordering is proposed to optimize the optical flow method to solve the problem of target scale change in fisheye camera videos. Multi-scale scaling processing for frames, tracking algorithm based on cyclic matrix structure (CSK), target tracking for multiple images after zooming, using fitting to determine the maximum corresponding value, reducing the error caused by target deformation on tracking results. The tracking test results of multiple fisheye camera videos in the vehicle environment show that the algorithm has high real-time tracking accuracy.