A Computational Model of Extrastriate Visual Area MT on Motion Perception
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 5
Abstract
Human vision system are sensitive to motion perception under complex scenes. Building motion attention models similar to human visual attention system should be very beneficial to computer vision and machine intelligence; meanwhile, it has been a challenging task due to the complexity of human brain and limited understanding of the mechanisms underlying the human vision system. This paper models the motion perception mechanisms in human extrastriate visual middle temporal area (MT) computationally. MT is middle temporal area which is sensitive on motion perception. This model can explain the attention selection mechanism and visual motion perception to some extent. With the proposed model, we analysis the motion perception under day time with single or multiple moving objects, we then mimic the visual attention process consisting of attention shifts and eye fixations against motion- feature-map. The model produced similar gist perception outputs in our experiments, when day-time images and nocturnal images from the same scene are processed. At last, we mentioned the future direction of this research.
Authors and Affiliations
Jiawei Xu, Shigang Yue
Keywords
Related Articles
- EP ID EP109366
- DOI 10.14569/IJACSA.2013.040511
- Views 116
- Downloads 0
Flow-Length Aware Cache Replacement Policy for Packet Processing Cache
Recent core routers are required to process packets not only at high throughput but also with low power consumption due to the increase in the network traffic amount. Packet processing cache (PPC) is one of the effective...
Hyperspectral Image Segmentation using Homogeneous Area Limiting and Shortest Path Algorithm
Segmentation, as a preprocessing, plays an important role in hyperspectral images. In this paper, considering the similarity of neighboring pixels, using the size measure, the image spectrum is divided into several segme...
Fine-Grained Quran Dataset
Extracting knowledge from text documents has become one of the main hot topics in the field of Natural Language Processing (NLP) in the era of information explosion. Arabic NLP is considered immature due to several reaso...
Face Recognition Based on Improved SIFT Algorithm
People are usually identified by their faces. Developments in the past few decades have enabled human to automatically do the identification process.Now, face recognition process employs the advanced statistical science...
User-Defined Financial Functions for MS SQL Server
The paper deals with mathematical preparation and subsequent programming of various types of financial functions with using of Transact-SQL in Database Management System MS SQL Server. Financial functions are used to aut...