In this paper, we wish to build a high quality database of
images depicting scenes, along with their real-world threedimensional
(3D) coordinates. Such a database is useful
for ...
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...