Results 261 to 270 of about 138,919 (306)

Moving object detection by a mounted moving camera

IEEE EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), 2015
Accurate moving object detection is one of the most important topic for surveillance systems. Background subtraction works well for videos acquired by stationary mounted camera. However, it does not work for mounted moving cameras since the background objects also move in two consecutive frames.
Ozge Mercanoglu Sincan, Vahid Babaei Ajabshir, Hacer Yalim Keles, Suleyman Tosun   +3 more
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Detecting moving objects from a moving platform

Proceedings 1992 IEEE International Conference on Robotics and Automation, 2003
The authors present a system that successfully detects edge segments of moving objects viewed by a translating camera. The system uses two key concepts. First, a complex logarithmic mapping (CLM) is used to simplify detection of the desired movement. This converts the problem from one of detecting a complex motion along both the X and Y axes, to one of
J. Frazier, R. Nevatia
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Moving Object's Detect in a Monocular Moving Camera

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, 2013
Recently, there has been increasing interest in using mobile robots within spaces where humans reside, and safe navigation by effective sensing becomes an important issue. In this paper, we describe a method to detect moving objects that exist in front of an autonomously navigating robot by analyzing images of a monocular color camera mounted on the ...
Ye-gang Chen, Xiao-rong Diao
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Moving Objects: Memory and Material Culture

2020
Margaret Hills de Zárate’s chapter focuses on participatory ethnographic research and the role of objects as a vehicle of translation in relation to the transmission of Italian transgenerational identity in the Argentine province of Buenos Aires. It considers a series of objects, the narratives they embody and those they evoke within the context of ...
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Graph Moving Object Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Moving Object Segmentation (MOS) is a fundamental task in computer vision. Due to undesirable variations in the background scene, MOS becomes very challenging for static and moving camera sequences. Several deep learning methods have been proposed for MOS with impressive performance.
Jhony H. Giraldo, Sajid Javed, Thierry Bouwmans   +2 more
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MOVING SUBJECTS, MOVING OBJECTS

2012
In recent years an increasing number of scholars have incorporated a focus on emotions in their theories of material culture, transnationalism and globalization, and this book aims to contribute to this field of inquiry. It examines how ‘emotions’ can be theorized, and serves as a useful analytical tool for understanding the interrelated mobility of ...
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MOVE: Interactive Visual Exploration of Moving Objects. [PDF]

, 2022
info:eu-repo/semantics ...
Schoemans, Maxime, Sakr, Mahmoud, Zimanyi, Esteban   +2 more
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Catchability of a Moving Object by a Robot

2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
Catching a moving object by a robot is studied in the framework of a pursuer-evader problem. The models of the robot and the moving object in the world coordinate system are assumed to be linear, after feedback linearization, and discrete in time. A performance criterion for the system is quadratic and contains a measure of the distance between the ...
A. T. Kolvo, A. J. Kolvo
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Segmentation of periodically moving objects

2008 19th International Conference on Pattern Recognition, 2008
We present a new approach for the identification and segmentation of objects undergoing periodic motion. Our method uses a combination of maximum likelihood estimation of the period, and segments moving objects using correlation of image segments over an estimated period of interest. Correlation provides the best locations of the moving objects in each
Ousman Azy, Narendra Ahuja
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Octree representations of moving objects

Computer Vision, Graphics, and Image Processing, 1983
Abstract An algorithm is described that updates an object's octree representation as the object is linearly translated through space. This is accomplished by performing simple arithmetic on the path representations of the nodes to be translated. Among others, one advantage of the algorithm is in devising collision-free and efficient trajectories of ...
Narendra Ahuja, Charles Nash
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