A saliency based motion detection model of visual system considering visual adaptation properties

2015 ◽  
Author(s):  
Mitsuhiro Kodama ◽  
Takeshi Kohama ◽  
Hisashi Yoshida
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Visual Adaptation ◽  
Detection Model

scholarly journals Speed-Selectivity in Retinal Ganglion Cells is Modulated by the Complexity of the Visual Stimulus

2018 ◽  
Author(s):  
César R Ravello ◽  
Laurent U Perrinet ◽  
María-José Escobar ◽  
Adrián G Palacios
Keyword(s):  
Visual System ◽  
Retinal Ganglion Cells ◽  
Visual Stimulus ◽  
Motion Detection ◽  
Ganglion Cells ◽  
Large Body ◽  
Natural Images ◽  
Retinal Ganglion ◽  
Complex Stimuli ◽  
Different Populations

ABSTRACTMotion detection represents one of the critical tasks of the visual system and has motivated a large body of research. However, is remain unclear precisely why the response of retinal ganglion cells (RGCs) to simple artificial stimuli does not predict their response to complex naturalistic stimuli. To explore this topic, we use Motion Clouds (MC), which are synthetic textures that preserve properties of natural images and are merely parameterized, in particular by modulating the spatiotemporal spectrum complexity of the stimulus by adjusting the frequency bandwidths. By stimulating the retina of the diurnal rodent,Octodon deguswith MC we show that the RGCs respond to increasingly complex stimuli by narrowing their adjustment curves in response to movement. At the level of the population, complex stimuli produce a sparser code while preserving movement information; therefore, the stimuli are encoded more efficiently. Interestingly, these properties were observed throughout different populations of RGCs. Thus, our results reveal that the response at the level of RGCs is modulated by the naturalness of the stimulus - in particular for motion - which suggests that the tuning to the statistics of natural images already emerges at the level of the retina.

Two-Stroke Apparent Motion

2017 ◽  
Author(s):  
George Mather
Keyword(s):  
Receptive Field ◽  
Visual System ◽  
Apparent Motion ◽  
Motion Detection ◽  
Human Visual System ◽  
Motion Aftereffect ◽  
Temporal Response ◽  
Motion Sensing ◽  
Receptive Field Properties ◽  
Directional Motion

“Two-stroke” apparent motion is a powerful illusion of directional motion generated by alternating just two animation frames, which occurs when a brief blank interframe interval is inserted at alternate frame transitions. This chapter discusses this illusion, which can be explained in terms of the receptive field properties of motion-sensing neurons in the human visual system. The temporal response of these neurons contains both an excitatory phase and an inhibitory phase; when the timing of the interframe interval just matches the switch in response sign, the illusion occurs. Concepts covered in this chapter include four-stroke as well as two-stroke apparent motion, motion aftereffect, and motion detection.

A scene-adaptive motion detection model based on machine learning and data clustering

2013 ◽  
Vol 74 (8) ◽  
pp. 2821-2839 ◽  
Author(s):  
Tao Hu ◽  
Minghui Zheng ◽  
Jun Li ◽  
Li Zhu ◽  
Jia Hu
Keyword(s):  
Machine Learning ◽  
Motion Detection ◽  
Data Clustering ◽  
Detection Model ◽  
Model Based ◽  
Adaptive Motion

scholarly journals A 2-D Motion Detection Model for Low-Cost Embedded Reconfigurable I/O Devices

2005 ◽  
Vol 52 (8) ◽  
pp. 1443-1449 ◽  
Author(s):  
A. Dollas ◽  
S. Sotiropoulos ◽  
K. Papademetriou
Keyword(s):  
Motion Detection ◽  
Low Cost ◽  
Detection Model
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