Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies
نویسندگان
چکیده
منابع مشابه
Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies.
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 ...
متن کاملGranulation, rough entropy and spatiotemporal moving object detection
A new spatio-temporal segmentation approach for moving object(s) detection and tracking from a video sequence is described. Spatial segmentation is carried out using rough entropy maximization, where we use the quad-tree decomposition, resulting in unequal image granulation which is closer to natural granulation. A three point estimation based on Beta Distribution is formulated for background e...
متن کاملAdaptable Pointer Swizzling Strategies in Object Bases
In this paper we will classify and evaluate di erent approaches to optimizing the access to main memory resident persistent objects|techniques which are commonly referred to as \pointer swizzling". To speed up the access along inter-object references, the persistent pointers are transformed (swizzled) into main memory pointers (addresses). We will evaluate four di erent pointer swizzling techni...
متن کاملBayesian Nonparametric Models for Community Detection
Bayesian Nonparametric Models for Community Detection Jiqiang Guo a , Alyson G. Wilson b & Daniel J. Nordman c a Virginia Bioinformatics Institute , Virginia Tech University , Blacksburg , VA , 24061 b Department of Statistics , North Carolina State University , Raleigh , NC , 27695 c Department of Statistics , Iowa State University , Ames , IA , 50011 Accepted author version posted online: 28 ...
متن کاملQuickest Moving Object Detection
We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in the video. The method is an online approach based on motion segmentation, and it operates under dynamic backgrounds caused by a moving camera or moving nuisances. The goal of the method is to detect and segment the ob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optics Letters
سال: 2012
ISSN: 0146-9592,1539-4794
DOI: 10.1364/ol.37.003159