Object tracking using plenoptic image sequences

Jae Woo Kim; Seong-Joon Bae; Seongjin Park; Do Hyung Kim

doi:10.1117/12.2264431

10 May 2017 Object tracking using plenoptic image sequences

Jae Woo Kim, Seong-Joon Bae, Seongjin Park, Do Hyung Kim

Proceedings Volume 10219, Three-Dimensional Imaging, Visualization, and Display 2017; 1021909 (2017) https://doi.org/10.1117/12.2264431
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Object tracking is a very important problem in computer vision research. Among the difficulties of object tracking, partial occlusion problem is one of the most serious and challenging problems. To address the problem, we proposed novel approaches to object tracking on plenoptic image sequences. Our approaches take advantage of the refocusing capability that plenoptic images provide. Our approaches input the sequences of focal stacks constructed from plenoptic image sequences. The proposed image selection algorithms select the sequence of optimal images that can maximize the tracking accuracy from the sequence of focal stacks. Focus measure approach and confidence measure approach were proposed for image selection and both of the approaches were validated by the experiments using thirteen plenoptic image sequences that include heavily occluded target objects. The experimental results showed that the proposed approaches were satisfactory comparing to the conventional 2D object tracking algorithms.

Conference Presentation

Citation Download Citation

Jae Woo Kim, Seong-Joon Bae, Seongjin Park, and Do Hyung Kim "Object tracking using plenoptic image sequences", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021909 (10 May 2017); https://doi.org/10.1117/12.2264431

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available