Visual Object Tracking in RGB-D Data via Genetic Feature Learning

Visual Object Tracking in RGB-D Data via Genetic Feature Learning

Visual object tracking is a fundamental component in many computer vision applications. Extracting robust features of object is one of the most important steps in tracking. As trackers, only formulated on RGB data, are usually affected by occlusions, appearance, or illumination variations, we propos...

Full description

Bibliographic Details
Main Authors: Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/4539410

Similar Items

Similar Items