Results 21 to 30 of about 31,301 (244)
A robust tracking algorithm for a human‐following mobile robot
IET Image Processing, 2021 The capability of recognizing and tracking a specific human is considered a key technique for serving mobile robots. This paper proposes a real‐time tracker that uses a stereo camera to track specific people in different environments.
Tsung‐Han Tsai, Chia‐Hsiang Yao
doaj +1 more source
An innovative volume based video feature extraction technique [PDF]
, 2008 Based on the video frames, a spatial-temporal volume data structure represents more flexible processing methods than traditional 2D sequential images approach in computer vision.
Xu, Zhijie +3 more
core +4 more sources
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
STV-based Video Feature Processing for Action Recognition [PDF]
, 2012 In comparison to still image-based processes, video features can provide rich and intuitive information about dynamic events occurred over a period of time, such as human actions, crowd behaviours, and other subject pattern changes.
Xu, Zhijie +3 more
core +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
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
Image and video denoising for distributed optical fibre sensors [PDF]
, 2017 A technique based on a multi-dimensional signal processing approach is here described for performance enhancement of distributed optical fibre sensors. In particular, the main features of linear and nonlinear image denoising techniques are described for ...
Thévenaz, Luc +5 more
core +2 more sources
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
doaj +1 more source
Video image processing using optical Kerr microcombs
, 2023 Advanced image processing will be crucial for emerging technologies such as autonomous driving, where the requirement to quickly recognize and classify objects under rapidly changing, poor visibility environments in real time will be needed.
David Moss
core +1 more source