Persons Characterization Into Image Sequences Using A Shape Measure

Autor: Ana Marcela Herrera Navarro, Julio Alejandro Romero González, Carlos Alberto Olmos Trejo, Diana Margarita Córdoba Esparza, Hugo Jiménez Hernández
Rok vydání: 2018
Předmět:
DOI: 10.5281/zenodo.1193994
Popis: The characterizing of persons in real time is a topic of interest in computer vision. In this work we develop an methodof persons characterization. Particularly, the proposal is divided in 3 stages: 1) In a first stage, Mixture of Gaussians (MOG) is used to detected each objectin movement,the contour of the foreground isanalysed with the radius distribution. Finally, for each block a measure of dispersionbased in radius distribution, considering the maximum sparse criterion is proposed.  
Databáze: OpenAIRE