Real time panoramic background subtraction on GPU

Date

2016-05-19

Author

BÜYÜKSARAÇ, SERDAR
Akar, Gözde
Temizel, Alptekin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

182
views

0
downloads

In this study, we propose a method for panoramic background subtraction by using Pan-Tilt cameras in real-time. The proposed method is based on parallelization of image registration, panorama generation and background subtraction operations to run on Graphics Processing Unit (GPU). Experiments results showed that GPU usage increases speed of the algorithm 33 times without considerable performance loss and makes working real-time possible.

Subject Keywords

Background subtraction, Panorama extraction, Pan-tilt camera, Graphics processing unit (gpu), Compute unified device architecture (cuda)

URI

https://hdl.handle.net/11511/32345

DOI

https://doi.org/10.1109/siu.2016.7495914

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

Performance improvement of a 3d reconstruction algorithm using single camera images Kılıç, Varlık; Platin, Bülent Emre; Department of Mechanical Engineering (2005) In this study, it is aimed to improve a set of image processing techniques used in a previously developed method for reconstructing 3D parameters of a secondary passive target using single camera images. This 3D reconstruction method was developed and implemented on a setup consisting of a digital camera, a computer, and a positioning unit. Some automatic target recognition techniques were also included in the method. The passive secondary target used is a circle with two internal spots. In order to achieve...
Automatic Point Matching and Robust Fundamental Matrix Estimation for Hybrid Camera Scenarios Bastanlar, Yalin; Temizel, Alptekin; Yardimci, Yasemin (2009-04-11) In this paper, we propose a method to estimate the fundamental matrix for hybrid cameras robustly. In our study a catadioptric omnidirectional camera and a perspective camera were used to obtain hybrid image pairs. For automatic feature point matching, we employed Scale Invariant Feature Transform (SIFT) and improved matching results with the proposed image preprocessing. We also performed matching using virtual camera plane (VCP) images, which are unwarped from the omnidirectional image and carries perspec...
3D Face Reconstruction Using Stereo Images and Structured Light OZTURK, Ahmet Oguz; Halıcı, Uğur; ULUSOY PARNAS, İLKAY; AKAGUNDUZ, Erdem (2008-04-22) In this paper, the 3D face scanner that we developed using stereo cameras and structured light together is presented. Structured light having a pattern of vertical lines is used to create feature points and to match them easily. 3D point cloud obtained by stereo analysis is post processed to obtain the 3D model in obj format.
Photographically Guided Alignment for HDR Images Akyüz, Ahmet Oğuz (null; 2011-04-15) This paper presents an automatic image alignment algorithm that alleviates the need to keep the camera still during the capture of a bracketed sequence to obtain an HDR image. Our algorithm assumes that the misalignment between the two consecutive exposures is translational. Using a photographically guided random search, our algorithm first finds properly exposed high contrast regions. The shift amount is then found by analyzing and matching the pixel correlations inside these regions.
Real time color blending of rendered and captured video Reinhard, Erik; Akyüz, Ahmet Oğuz; Colbert, Mark; Hughes, Charles; Oconnor, Matthew (2004-12-04) Augmented reality involves mixing captured video with rendered elements in real-time. For augmented reality to be effective in training and simulation applications, the computer generated components need to blend in well with the captured video. Straightforward compositing is not sufficient, since the chromatic content of video and rendered data may be very different such that it is immediately obvious which parts of the composited image were rendered and which were captured. We propose a simple and effecti...

Citation Formats

S. BÜYÜKSARAÇ, G. Akar, and A. Temizel, “Real time panoramic background subtraction on GPU,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32345.