NDLI: Competition between Spatial and Temporal Factors in Simple Apparent Motion is Modulated by Laterality

Content Provider	IEEE Xplore Digital Library
Author	Sakamoto, K. Onizawa, T. Yano, M.
Copyright Year	2005
Description	Author affiliation: Res. Inst. of Electr. Commun., Tohoku Univ., Sendai (Sakamoto, K.; Onizawa, T.; Yano, M.)
Abstract	When spots are presented successively, apparent motions are perceived. Computationally, motion competition in apparent motion is an ill-posed problem and to reveal the underlying mechanisms is an important issue not only in cognitive science but also in computer vision. Our previous studies by Sugiura et al. (1998) revealed how the spatial and temporal factors counterbalance in motion competition and found that the counterbalancing relation was modulated by the directional condition between the competing motions, that is, whether the two motions were directed to the same or opposite direction. However, it was not clear which caused this effect, the directional difference of the motions or laterality, namely, the difference between bi-hemispheric and mono-hemispheric motion processes. Here, we show that this directional modulation is originated from laterality. This fact suggests that cortico-cortical interaction is responsible for spatiotemporal integration for perception of moving objects in complex environments
Starting Page	175
Ending Page	179
File Size	239658
Page Count	5
File Format	PDF
ISBN	0780392264
DOI	10.1109/DEVLRN.2005.1490974
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics Computer vision Intersymbol interference Humans Psychology Aging Motion detection Spatiotemporal phenomena Cognitive science Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cyclic motion detection using spatiotemporal surfaces and curves

Visual search for apparent-length targets is modulated by the Müller-Lyer illusion

Action Detection by Implicit Intentional Motion Clustering

Detection of human actions from a single example

Dense saliency-based spatiotemporal feature points for action recognition

A Spatiotemporal Saliency Framework

Learning spatiotemporal T-junctions for occlusion detection

Long-range spatiotemporal motion understanding using spatiotemporal flow curves

People detection based on co-occurrence of appearance and spatiotemporal features

Competition between Spatial and Temporal Factors in Simple Apparent Motion is Modulated by Laterality

Similar Documents

Cyclic motion detection using spatiotemporal surfaces and curves

Visual search for apparent-length targets is modulated by the Müller-Lyer illusion

Action Detection by Implicit Intentional Motion Clustering

Detection of human actions from a single example

Dense saliency-based spatiotemporal feature points for action recognition

A Spatiotemporal Saliency Framework

Learning spatiotemporal T-junctions for occlusion detection

Long-range spatiotemporal motion understanding using spatiotemporal flow curves

People detection based on co-occurrence of appearance and spatiotemporal features

Competition between Spatial and Temporal Factors in Simple Apparent Motion is Modulated by Laterality