Work

Moving object detection for real-time augmented reality applications in a GPGPU

Year: 2012

Type: article

Abstract: The last generation of consumer electronic devices is endowed with Augmented Reality (AR) tools. These tools require moving object detection strategies, which should be fast and efficient, to carry out higher level object analysis tasks. We propose a lightweight spatio-temporal-based non-parametric background-foreground modeling strategy in a General Purpose Graphics Processing Unit (GPGPU), which provides real-time high-quality results in a great variety of scenarios and is suitable for AR applications.

Source: IEEE Transactions on Consumer Electronics

DOI: 10.1109/tce.2012.6170063

Authors: Carlos Cuevas, Daniel Berjon, Francisco Moran, Narciso Garcia

Institution: Universidad Politécnica de Madrid

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2075147451

FWCI: 2.414

Cites: 32

Cited by: 23

Related to: 10