Bio-inspired clustering of moving objects

被引：3

作者：

Avila-Mora, Ivonne Maricela ^{[1
]}

Castellanos-Sanchez, Claudio ^{[1
]}

机构：

[1] CINVESTAV, Informat Technol Lab, Tamaulipas, Mexico

来源：

PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV | 2009年

关键词：

D O I：

10.1109/GCIS.2009.445

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays several researches have implemented various techniques to solve the problem of clustering data. In this paper we present a visual bio-inspired approach to clustering based on the Conepvim [1] Model for visual perception of moving objects in the primary visual cortex (VI) of the human brain. This model uses the Gabor-like filters to detect motion, estimates the global speed, direction and trajectory. We have extended this model with a bio-inspired algorithm: the Self-Organization Maps (SOM) to define how many objects in motion there are in the sequence. Our approach is totally bio-inspired and it has been evaluated on natural sequences of images

引用

页码：58 / 62

页数：5

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