Results 11 to 20 of about 644,825 (278)
Tracking human movement in office environment using video processing [PDF]
, 2011 In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion.
Ramli, M. S. A. +2 more
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INTEGRATING MOTION PRIORS FOR END-TO-END ATTENTION-BASED MULTI-OBJECT TRACKING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Recent advancements in multi-object tracking (MOT) have heavily relied on object detection models, with attention-based models like DEtection TRansformer (DETR) demonstrating state-of-the-art capabilities.
R. Ali, M. Mehltretter, C. Heipke
doaj +1 more source
Learning to Detect and Track Cells for Quantitative Analysis of Time-Lapse Microscopic Image Sequences [PDF]
, 2015 © 2015 IEEE.Studying the behaviour of cells using time-lapse microscopic imaging requires automated processing pipelines that enable quantitative analysis of a large number of cells.
Carlin, LM, Glocker, B, Kostelec, PD
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How many objects are you worth? Quantification of the self-motion load on multiple object tracking
Frontiers in Psychology, 2011 Perhaps walking and chewing gum is effortless, but walking and tracking moving objects is not. Multiple object tracking is impaired by walking from one location to another, suggesting that updating location of the self puts demands on object tracking ...
Laura Elizabeth Thomas +1 more
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A Single Unexpected Change in Target- but Not Distractor Motion Impairs Multiple Object Tracking
i-Perception, 2013 Recent research addresses the question whether motion information of multiple objects contributes to maintaining a selection of objects across a period of motion.
Hauke S. Meyerhoff +3 more
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Function based control for bilateral systems in tele-micromanipulation [PDF]
, 2008 Design of a motion control system should take into account (a) unconstrained motion performed without interaction with environment or any other system, and (b) constrained motion with system in contact with environment or other systems.
Elitas, Meltem +6 more
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Object-Tracking Algorithm Combining Motion Direction and Time Series
Applied Sciences, 2023 Object tracking using deep learning is a crucial research direction within intelligent vision processing. One of the key challenges in object tracking is accurately predicting the object’s motion direction in consecutive frames while accounting for the ...
Jianjun Su, Chenmou Wu, Shuqun Yang
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Path Tracking in Motion Planning [PDF]
The Computer Journal, 1993 Summary: The inverse kinematics problem asks to determine the configurations of a robot manipulator that places the tip of the robot in a given position and orientation. The generalization of this problem, called path tracking or path following, is to determine if there exists a path of a manipulator in which the tip follows a given path.
González-López, M. J., Recio, T.
openaire +2 more sources
Frontiers in Physiology, 2018 Optical mapping is a high-resolution fluorescence imaging technique, which provides highly detailed visualizations of the electrophysiological wave phenomena, which trigger the beating of the heart.
Jan Christoph +6 more
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Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning
Sensors, 2022 Effective multi-object tracking is still challenging due to the trade-off between tracking accuracy and speed. Because the recent multi-object tracking (MOT) methods leverage object appearance and motion models so as to associate detections between ...
Yong-Sang Yoo +2 more
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