Adaptive Multi-Camera System for Real Time Object Detection


Autoria(s): Camplani, Massimo; Salgado Álvarez de Sotomayor, Luis
Data(s)

2011

Resumo

In this paper we present an adaptive multi-camera system for real time object detection able to efficiently adjust the computational requirements of video processing blocks to the available processing power and the activity of the scene. The system is based on a two level adaptation strategy that works at local and at global level. Object detection is based on a Gaussian mixtures model background subtraction algorithm. Results show that the system can efficiently adapt the algorithm parameters without a significant loss in the detection accuracy.

Formato

application/pdf

Identificador

http://oa.upm.es/13460/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/13460/1/INVE_MEM_2011_112755.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5722869

info:eu-repo/semantics/altIdentifier/doi/10.1109/ICCE.2011.5722869

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Proceedings of 2011 IEEE International Conference on Consumer Electronics (ICCE) | 2011 IEEE International Conference on Consumer Electronics (ICCE) | 09/01/2011 - 12/01/2011 | Las Vegas, NV, EEUU

Palavras-Chave #Telecomunicaciones
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed