Cox processes for counting by detection

DOI10.1007/s10851-018-0838-5zbMath1431.62276OpenAlexW2890468687MaRDI QIDQ1735951

Bruno Jedynak, Purnima Rajan, Yongming Ma

Publication date: 29 March 2019

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://pdxscholar.library.pdx.edu/pics_pub/6

zbMATH Keywords

computer visionGaussian processBayesian inferenceCox processesobject counting

Mathematics Subject Classification ID

Bayesian inference (62F15) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• SIFT
• ImageNet
• YOLO
• MS-COCO
• PASCAL VOC
• AlexNet
• Faster R-CNN

Cites Work

• Detecting parametric objects in large scenes by Monte Carlo sampling
• Pricing of catastrophe reinsurance and derivatives using the Cox process with shot noise intensity
• Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss
• Interacting Geometric Priors For Robust Multimodel Fitting
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