Title :
A cortex-like model for animal recognition based on texture using feature-selective hashing
Author :
Seifzadeh, Sepideh ; Faez, Karim
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Islamic Univ., Qazvin, Iran
Abstract :
Building a model that can mimic the brain´s cortex has always been a major goal, because the human brain recognizes objects in terms of speed, reliability and flexibility that are always unique pattern for machine vision systems. In this paper, we are inspired by neuroscience and computer science that have designed a framework that can be fast and accurate emulation of the inferior temporal cortex with feature selective hashing to recognize animals. We worked on KTH database containing 1239 images in 13 classes that took photos from animals in wild.
Keywords :
computer vision; image recognition; image texture; KTH database; animal recognition; brain cortex; computer science; cortex-like model; feature-selective hashing; image texture; inferior temporal cortex; machine vision systems; neuroscience; Accuracy; Algorithm design and analysis; Animals; Brain modeling; Databases; Feature extraction; Shape; Cortex-like model; animal recognition; feature-selective Hashing; textural fearure extraction;
Conference_Titel :
Intelligent Systems (ICIS), 2014 Iranian Conference on
Conference_Location :
Bam
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/IranianCIS.2014.6802584
