Bayesian Contrast Measures and Clutter Distribution Determinants of Human Target Detection

Novak, Ana, Armstrong, Nicholas, Caelli, Terry and Blair, Iain 2017, Bayesian Contrast Measures and Clutter Distribution Determinants of Human Target Detection, IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1115-1126, doi: 10.1109/TIP.2016.2644269.

Attached Files
Name Description MIMEType Size Downloads

Title Bayesian Contrast Measures and Clutter Distribution Determinants of Human Target Detection
Author(s) Novak, Ana
Armstrong, Nicholas
Caelli, TerryORCID iD for Caelli, Terry orcid.org/0000-0001-9281-2556
Blair, Iain
Journal name IEEE Transactions on Image Processing
Volume number 26
Issue number 3
Start page 1115
End page 1126
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2017-03-03
ISSN 1057-7149
Keyword(s) Object detection
image coding
human factors
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Language eng
DOI 10.1109/TIP.2016.2644269
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1702 Cognitive Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135684

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 19 Mar 2020, 13:58:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.