K‐means based multiple objects tracking with long‐term occlusion handling

K‐means based multiple objects tracking with long‐term occlusion handling

This study presents a novel multiple objects tracking (MOT) approach that models object's appearance based on K‐means, while introducing a new statistical measure for association of objects after occlusion. The proposed method is tested on several standard datasets dealing complex situations in...

Full description

Bibliographic Details
Main Authors: Muhammad Imran Shehzad, Yasir A. Shah, Zahid Mehmood, Abdul Waheed Malik, Shoaib Azmat
Format: Article
Language:English
Published: Wiley 2017-02-01
Series:IET Computer Vision
Subjects:
K-means based multiple objects tracking
long-term occlusion handling
MOT approach
statistical measure
standard dataset
motion model
Online Access:https://doi.org/10.1049/iet-cvi.2016.0156

Internet

https://doi.org/10.1049/iet-cvi.2016.0156

Similar Items