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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
An Oscillatory Correlation Model of Human Motion Perception
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Erdogan Çesmeli, Delwin T. Lindsey, DeLiang L. Wang, "An Oscillatory Correlation Model of Human Motion Perception," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4267, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.860783,
author = {Erdogan Çesmeli and Delwin T. Lindsey and DeLiang L. Wang},
title = {An Oscillatory Correlation Model of Human Motion Perception},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {4},
year = {2000},
issn = {1098-7576},
pages = {4267},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860783},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - An Oscillatory Correlation Model of Human Motion Perception
SN - 1098-7576
SP
EP
A1 - Erdogan Çesmeli,
A1 - Delwin T. Lindsey,
A1 - DeLiang L. Wang,
PY - 2000
VL - 4
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Erdogan Çesmeli, General Electric
Delwin T. Lindsey, Ohio State University
DeLiang L. Wang, Ohio State University
An oscillatory correlation model of human motion perception is proposed based on the integration of motion and luminance information. The model is composed of two parallel pathways that segment the input scene based on motion and luminance, respectively. Combining these segmentations, the model refines the motion estimates in the integration stage to obtain the final segmentation in the motion pathway. For segmentation, LEGION (Locally Excitatory Globally Inhibitory Oscillator Networks) is employed whereby the phases of oscillators are used for region labeling. The model performance is demonstrated using a set of psychophysical data.
Citation:
Erdogan Çesmeli, Delwin T. Lindsey, DeLiang L. Wang, "An Oscillatory Correlation Model of Human Motion Perception," ijcnn, vol. 4, pp.4267, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
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