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 89
- Downloads 0
Performance Evaluation of SIFT and Convolutional Neural Network for Image Retrieval
Convolutional Neural Network (NN) has gained a lot of attention of the researchers due to its high accuracy in classification and feature learning. In this paper, we evaluated the performance of CNN used as feature for i...
Simulation of Performance Execution Procedure to Improve Seamless Vertical Handover in Heterogeneous Networks
One challenge of wireless networks integration is the ubiquitous wireless access abilities which provide the seamless handover for any moving communication device between different types of technologies (3GPP and non-3GP...
An Approach for External Preference Mapping Improvement by Denoising Consumer Rating Data
In this study, denoising data was advocated in sensory analysis field to remove the existing noise in consumer rating data before processing to External Preference Mapping (EPM). This technique is a data visualization us...
Intelligent Mobility Management Model for Heterogeneous Wireless Networks
Growing consumer demands for access of communication services in a ubiquitous environment is a driving force behind the development of new technologies. The rapid development in communication technology permits the end u...
Knowledge-based Approach for Event Extraction from Arabic Tweets
Tweets provide a continuous update on current events. However, Tweets are short, personalized and noisy, thus raises more challenges for event extraction and representation. Extracting events out of Arabic tweets is a ne...