Title
Jitter invariant incremental principal component pursuit for video background modeling on the TK1
Date Issued
26 February 2016
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
IEEE Computer Society
Abstract
While Principal Component Pursuit (PCP) is currently considered to be the state of the art method for video background modeling, it suffers from a number of limitations, including high computational cost, batch operating mode, and sensitivity to camera jitter. In this work we present a real-time, CUDA-aware C / CUDA C implementation of a novel and fully incremental PCP algorithm for video background modeling that can also deal with rigid transformation jitter. Our implementation has a computational complexity that allows (TK1 platform) a processing frame rate throughput (jittered video) of 2.6 and 0.4 f.p.s. for color videos of 640 × 480 and 1920 × 1088 respectively.
Start page
1403
End page
1407
Volume
2016-February
Language
English
OCDE Knowledge area
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-84969835611
PubMed ID
ISBN
9781467385763
Source
Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN of the container
10586393
Sources of information:
Directorio de Producción Científica
Scopus