Results 21 to 30 of about 141,644 (246)
New image processing tools for structural dynamic monitoring [PDF]
, 2007 This paper presents an introduction to structural damage assessment using image processing on real data (non ideal conditions). Our contribution is much more a groundwork than a classical experimental validation.
Bos, Frédéric +2 more
core +1 more source
YOLOFig detection model development using deep learning
IET Image Processing, 2021 The detection of fruit, including accuracy and speed is of great significance for robotic harvesting. Nevertheless, attributes such as illumination variation, occlusion, and so on have made fruit detection a challenging task.
Olarewaju Mubashiru Lawal, Huamin Zhao
doaj +1 more source
IET Intelligent Transport Systems, 2021 The distracted phone‐use behaviours among pedestrians, like Texting, Game Playing and Phone Calls, have caused increasing fatalities and injuries. However, the research of phone‐related distracted behaviour by pedestrians has not been systemically ...
Humberto Saenz +4 more
doaj +1 more source
Deep learning for occluded and multi‐scale pedestrian detection: A review
IET Image Processing, 2021 Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in many fields, such as automatic driving, video surveillance, robots and so on.
Yanqiu Xiao +6 more
doaj +1 more source
Interaction between high-level and low-level image analysis for semantic video object extraction [PDF]
, 2004 Authors of articles published in EURASIP Journal on Advances in Signal Processing are the copyright holders of their articles and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate the article ...
Cavallaro, A, Ebrahimi, T
core +3 more sources
Hierarchical distillation for image compressive sensing reconstruction
Electronics Letters, 2021 Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However,
Bokyeung Lee +3 more
doaj +1 more source
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, Aggoun, A, Fernando, WAC
core +1 more source
Forgery localization in images based on joint statistics of image blocks with neighbouring blocks
IET Image Processing, 2021 Flawless image forensic analysis necessitates precise identification of tampering regions in digital images along with the determination of state of an image (original or forged). Most of the efforts towards localization of forgeries involve localization
Divya Singhal, Abhinav Gupta
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Optical network technologies for future digital cinema [PDF]
, 2016 Digital technology has transformed the information flow and support infrastructure for numerous application domains, such as cellular communications.
Kaleem, Mohammad, Nazir, Sajid
core +4 more sources
Restore DeepFakes video frames via identifying individual motion styles
Electronics Letters, 2021 Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training ...
Haichao Zhang +3 more
doaj +1 more source