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Localizing non-retinotopically moving objects. [PDF]
PLoS ONE, 2013 How does the brain determine the position of moving objects? It turns out to be rather complex to answer this question when we realize that the brain has to solve the motion correspondence problem in two kinds of reference frames: Retinotopic and non ...
Yuki Yamada, Takahiro Kawabe
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Nonuniform Video Size Reduction for Moving Objects [PDF]
The Scientific World Journal, 2014 Moving objects of interest (MOOIs) in surveillance videos are detected and encapsulated by bounding boxes. Since moving objects are defined by temporal activities through the consecutive video frames, it is necessary to examine a group of frames (GoF) to
Anh Vu Le, Seung-Won Jung, Chee Sun Won
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Relative space-based GIS data model to analyze the group dynamics of moving objects [PDF]
ISPRS Journal of Photogrammetry and Remote Sensing, 2019 Shih-Lung Shaw +2 more
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Modeling and Querying Multi-dimensional Moving Objects
Journal of Harbin University of Science and Technology, 2022 Motivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes.
SHEN Xiang-hong +4 more
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Informatika, 2021 An algorithm of automatic detection and tracking the moving objects for the use in equipment on board of unmanned aerial vehicles is considered. The developed algorithm is based on a tracking specially selected points for a certain period. Tracked points
R. S. Zhuk
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Event‐based motion segmentation of small objects in the wild
Electronics Letters, 2022 Event‐based cameras are sensitive to brightness changes and can capture rich temporal information with very high temporal resolution, which has great potential for motion segmentation of moving objects.
Zhezheng Sun +4 more
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Intellectualization of Moving Transport Objects Recognition
Цифрова платформа: інформаційні технології в соціокультурній сфері, 2022 The purpose of the article is to research, analyze, and consider current problems and prospects for the development of software for the recognition of transport objects based on the use of pattern recognition theory, methods, and tools of artificial ...
Ольга Ткаченко +1 more
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An extended k-means technique for clustering moving objects
Egyptian Informatics Journal, 2011 k-means algorithm is one of the basic clustering techniques that is used in many data mining applications. In this paper we present a novel pattern based clustering algorithm that extends the k-means algorithm for clustering moving object trajectory data.
Omnia Ossama +2 more
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Spatial Big Data and Moving Objects: A Comprehensive Survey
IEEE Access, 2018 Recently, big data (BD) has seen a tremendous growth in its volume, magnitude, and complexity. Examples of such data include navigation maps, mobile phone trajectories, and social media posts/tweets.
Usama Mir +4 more
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