Results 21 to 30 of about 140,805 (240)
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
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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
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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
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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
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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
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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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Time-sequential Pipelined Imaging with Wavefront Coding and Super Resolution [PDF]
, 2017 Wavefront coding has long offered the prospect of mitigating optical aberrations and extended depth of field, but image quality and noise performance are inevitably reduced. We report on progress in the use of agile encoding and pipelined fusion of image
Bradburn +6 more
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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
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Simultaneous real-time visible and infrared video with single-pixel detectors [PDF]
, 2015 Conventional cameras rely upon a pixelated sensor to provide spatial resolution. An alternative approach replaces the sensor with a pixelated transmission mask encoded with a series of binary patterns.
Bowman, Richard W. +7 more
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Angular‐flexible network for light field image super‐resolution
Electronics Letters, 2021 Light field (LF) cameras capture scenes from multiple views and provide additional angular information for image super‐resolution (SR). Existing CNN‐based LF image SR methods commonly develop specific models for different angular resolutions.
Zhengyu Liang +4 more
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