Abstract: In this paper we present a framework for the fusion of radar and image information. In the case considered here we combine information from multiple closerange radars to ...
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
Context is critical for minimising ambiguity in object de-
tection. In this work, a novel context modelling framework
is proposed without the need of any prior scene segmen-
tat...