Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies

Not Accessible

Your library or personal account may give you access

Abstract

Electronic devices endowed with camera platforms require new and powerful machine vision applications, which commonly include moving object detection strategies. To obtain high-quality results, the most recent strategies estimate nonparametrically background and foreground models and combine them by means of a Bayesian classifier. However, typical classifiers are limited by the use of constant prior values and they do not allow the inclusion of additional spatiodependent prior information. In this Letter, we propose an alternative Bayesian classifier that, unlike those reported before, allows the use of additional prior information obtained from any source and depending on the spatial position of each pixel.

© 2012 Optical Society of America

Full Article  |  PDF Article
More Like This
Method of visual and infrared fusion for moving object detection

Shibo Gao, Yongmei Cheng, and Yongqiang Zhao
Opt. Lett. 38(11) 1981-1983 (2013)

Detection and tracking of small moving objects in image sequences by use of nonlinear spatiotemporal optical systems

Weiping Lu, Svetlana L. Lachinova, and Robert G. Harrison
Opt. Lett. 29(8) 824-826 (2004)

Moving object detection based on shape prediction

Xiang Zhang and Jie Yang
J. Opt. Soc. Am. A 26(2) 342-349 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (1)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (12)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved