Robust object tracking algorithm based on sparse eigenbasis

Robust object tracking algorithm based on sparse eigenbasis

To reduce the computation and to improve the performance of object detection and tracking algorithm with object appearance variation, a tracker based on sparse eigenbasis is proposed. According to the compressive sensing theory, the objects are described in a low‐dimensional sub‐space representation...

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Bibliographic Details
Main Authors: Jing Li, Junzheng Wang
Format: Article
Language:English
Published: Wiley 2014-12-01
Series:IET Computer Vision
Subjects:
robust object tracking algorithm
sparse eigenbasis
computation reduction
performance improvement
object detection algorithm
object appearance variation
Online Access:https://doi.org/10.1049/iet-cvi.2013.0175

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