An oscillatory correlation model of human motion perception

被引：0

作者：

Çesmeli, E ^{[1
]}

Lindsey, DT ^{[1
]}

Wang, DLL ^{[1
]}

机构：

[1] Gen Elect, Corp Res & Dev, Niskayuna, NY 12309 USA

来源：

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV | 2000年

关键词：

D O I：

10.1109/IJCNN.2000.860783

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：267 / 272

页数：6

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