Results 21 to 30 of about 319,555 (318)
IET Computer Vision, 2022 Skeleton‐based action recognition algorithms have been widely applied to human action recognition. Graph convolutional networks (GCNs) generalize convolutional neural networks (CNNs) to non‐Euclidean graphs and achieve significant performance in skeleton‐
Lubin Yu +3 more
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A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization
IEEE Access, 2021 Motion blur is common in images captured by handheld devices, arising from hand, device and/or object motion. To restore sharp images from the images degraded by the motion, it is extremely important to assess the quality of the captured image and its ...
Mohammad Abdullah-Al-Mamun +2 more
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Descriptive temporal template features for visual motion recognition [PDF]
, 2009 Copyright © 2009 Elsevier B.V. All rights reserved.In this paper, a human action recognition system is proposed. The system is based on new, descriptive ‘temporal template’ features in order to achieve high-speed recognition in real-time, embedded ...
Meng, H, Pears, N
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AKAZE-Based Visual Odometry From Floor Images Supported by Acceleration Models
IEEE Access, 2019 To realize the self-localization of autonomous robots, methods for the 2D motion measurement of robots are required. In this research, a self-localization system using a CCD camera is proposed.
Shota Nakashima +2 more
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Image Captioning Using Motion-CNN with Object Detection
Sensors, 2021 Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet.
Kiyohiko Iwamura +4 more
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Advanced Perspective on Human Detection system with Hybrid Feature Set
U.Porto Journal of Engineering, 2022 Detecting and discriminating humans in video frames for surveillance applications is a demanding task. Identifying and highlighting humans by eliminating shadows from the video frames is vital for prudence motive. In this paper, a three-step procedure is
Manikandaprabu Nallasivam +1 more
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Roto-translation equivariant convolutional networks: Application to histopathology image analysis [PDF]
, 2021 Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications.
Veta, Mitko +4 more
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Advanced content-based semantic scene analysis and information retrieval: the SCHEMA project [PDF]
, 2003 The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a reference system for content-based semantic scene analysis, interpretation and ...
I. KOMPATSIARIS +13 more
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A joint motion & disparity motion estimation technique for 3D integral video compression using evolutionary strategy [PDF]
, 2007 3D imaging techniques have the potential to establish a future mass-market in the fields of entertainment and communications. Integral imaging, which can capture true 3D color images with only one camera, has been seen as the right technology to offer ...
Adedoyin, S +5 more
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Image sequence enhancement using multiple motions analysis [PDF]
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003 A method for detecting and tracking multiple moving objects, using both a large spatial region and a large temporal region, without assuming temporal motion constancy is described. When the large spatial region of analysis has multiple moving objects, the motion parameters and the locations of the objects are computed for one object after another.
Michal Irani, Shmuel Peleg
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