Deformable Model-Based Vehicle Tracking and Recognition Using 3-D Constrained Multiple-Kernels and Kalman Filter

Deformable Model-Based Vehicle Tracking and Recognition Using 3-D Constrained Multiple-Kernels and Kalman Filter

Video-based vehicle tracking and recognition is an important application in the Intelligent Transportation System. High similarity among vehicle types, frequent occlusion and low video resolution in traffic surveillance are the major problems in this research area. In this paper, we proposed a vehic...

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Bibliographic Details
Main Authors: Tao Liu, Yong Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3-D vehicle modeling
constrained multiple kernels
camera calibration
Kalman filter
vehicle tracking and recogniton
Online Access:https://ieeexplore.ieee.org/document/9462803/

Internet

https://ieeexplore.ieee.org/document/9462803/

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