Adjustment of surveillance video systems by a performance evaluation function

Authors:
Óscar Pérez;Jesús García;Antonio Berlanga;José M. Molina
Affiliations:
Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

Citing 4
Cited 0

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Evolution and Optimum Seeking: The Sixth Generation

Evolution and Optimum Seeking: The Sixth Generation
Evaluation of global image thresholding for change detection

Pattern Recognition Letters
Image Processing, Analysis, and Machine Vision

Image Processing, Analysis, and Machine Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an evaluation metric for assessing the performance of a video tracking system. This metric is applied to adjust the parameters that regulates the video tracking system in order to improve the system perfomance. Thus, the automated optimization method is based on evolutionary computation techniques. The illustration of the process is carried out using three very different video sequences in which the evaluation function assesses trajectories of airplanes, cars or baggage-trucks in an airport surveillance application.