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Real time mono vision gesture based virtual keyboard system

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2006年第4期52卷 1261-1266页

作者： Habib, Hafiz Adnan Mufti, Muid Univ Engn & Technol Fac Telecommun & Informat Engn Video & Image Processing lab Taxila 47050 Pakistan

This paper presents a novel mono-vision virtual keyboard design for consumers of mobile and portable computing devices such as PDA's, mobile phones etc. Fuzzy approaches to gesture recognition are developed to reveal the key pressed over the printed sheet keyboard by analyzing the hand and finger gesture captured in the video sequence. Real time system is developed by integrating SDIO camera with PDA in the application environment. Reliable results are experienced by the implementation of the proposed real time mono vision gestured virtual keyboard system.

关键词： mono vision virtual keyboard fuzzy gesture real time consumer gesture system hand trajectory representations

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Automated reconstruction of building facades for virtual walk-Thrus 03

Automated reconstruction of building facades for virtual wal...

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2003 ACM SIGGRAPH Sketches and Applications, SIGGRAPH 2003

作者： Frueh, Christian Zakhor, Avideh Video and Image Processing Lab University of California Berkeley United States

ISBN: (纸本)9781450374668

In this paper, we present a fast, automated approach to generating a highly detailed, textured 3D building facade model. This model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads, and then processed offline. We evaluate our approach on a large data set acquired in downtown Berkeley.

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A knowledge-based sign synthesis architecture

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Universal Access in the Information Society 2008年第4期6卷 405-418页

作者： Fotinea, Stavroula-Evita Efthimiou, Eleni Caridakis, George Karpouzis, Kostas Institute for Language and Speech Processing Artemidos 6 and Epidavrou Athens Greece Image Video and Multimedia Systems Lab. 9 Iroon Polytechniou St Athens Greece

This paper presents the modules that comprise a knowledge-based sign synthesis architecture for Greek sign language (GSL). Such systems combine natural language (NL) knowledge, machine translation (MT) techniques and avatar technology in order to allow for dynamic generation of sign utterances. The NL knowledge of the system consists of a sign lexicon and a set of GSL structure rules, and is exploited in the context of typical natural language processing (NLP) procedures, which involve syntactic parsing of linguistic input as well as structure and lexicon mapping according to standard MT practices. The coding on linguistic strings which are relevant to GSL provide instructions for the motion of a virtual signer that performs the corresponding signing sequences. Dynamic synthesis of GSL linguistic units is achieved by mapping written Greek structures to GSL, based on a computational grammar of GSL and a lexicon that contains lemmas coded as features of GSL phonology. This approach allows for robust conversion of written Greek to GSL, which is an essential prerequisite for access to e-content by the community of native GSL signers. The developed system is sublanguage oriented and performs satisfactorily as regards its linguistic coverage, allowing for easy extensibility to other language domains. However, its overall performance is subject to current well known MT limitations. © Springer-Verlag 2007.

关键词： Knowledge based systems

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CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search 32

CHASE: Robust Visual Tracking via Cell-Level Differentiable ...

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32nd British Machine Vision Conference, BMVC 2021

作者： Marvasti-Zadeh, Seyed Mojtaba Khaghani, Javad Cheng, Li Ghanei-Yakhdan, Hossein Kasaei, Shohreh Vision and Learning Lab University of Alberta Edmonton Canada Digital Image & Video Processing Lab Yazd University Yazd Iran Image Processing Lab Sharif University of Technology Tehran Iran

A strong visual object tracker nowadays relies on its well-crafted modules, which typically consist of manually-designed network architectures to deliver high-quality tracking results. Not surprisingly, the manual design process becomes a particularly challenging barrier, as it demands sufficient prior experience, enormous effort, intuition, and perhaps some good luck. Meanwhile, neural architecture search has gaining grounds in practical applications as a promising method in tackling the issue of automated search of feasible network structures. In this work, we propose a novel cell-level differentiable architecture search mechanism with early stopping to automate the network design of the tracking module, aiming to adapt backbone features to the objective of Siamese tracking networks during offline training. Besides, the proposed early stopping strategy avoids over-fitting and performance collapse problems leading to generalization improvement. The proposed approach is simple, efficient, and with no need to stack a series of modules to construct a network. Our approach is easy to be incorporated into existing trackers, which is empirically validated using different differentiable architecture search-based methods and tracking objectives. Extensive experimental evaluations demonstrate the superior performance of our approach over five commonly-used benchmarks. © 2021. The copyright of this document resides with its authors.

关键词： Network architecture

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Level set region based image segmentation using Lattice Boltzmann Method

Level set region based image segmentation using Lattice Bolt...

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2011 7th International Conference on Computational Intelligence and Security, CIS 2011

作者： Souleymane, Balla-Arabé Wang, Bin Gao, Xinbo Video and Image Processing System Lab. School of Electronic Engineering Xidian University Xi'an China

ISBN: (纸本)9780769545844

Solving Level Set Equation (LSE) by using the classical methods mostly based on the finite different approximations, normally costs a lot of computer time particularly when processing high dimensional large-scale data. In recent years, the Lattice Boltzmann Method (LBM) has attracted much attention as a fast alternative approach for solving LSE. The LBM is explicit and highly parallelizable. In this paper, we use the LBM to solve the LSE;we propose an Unsigned Pressure Force (UPF) based on regional attribute, which can effectively and efficiently stop the contour at weak blurred edges. The experiments on synthetic and real images illustrate the performance of the proposed method. © 2011 IEEE.

关键词： image segmentation

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Multiview Human Action Recognition System Based on OpenPose and KNN Classifier 11th

Multiview Human Action Recognition System Based on OpenPose ...

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11th International Conference on Robotics, Vision, Signal processing and Power Applications, RoViSP 2021

作者： Malik, Najeeb Ur Rehman Abu Bakar, Syed Abdul Rahman Sheikh, Usman Ullah Computer Vision Video and Image Processing Lab ECE Department Universiti Teknologi Malaysia Johor Malaysia

ISBN: (纸本)9789811681288

Human action recognition is one of the trending research topics in the field of computer vision. Human-computer interaction and video monitoring are broad applications that aid in the understanding of human action in a video. The problem with action recognition algorithms such as 3D CNN, Two-stream network, and CNN-LSTM is that they have highly complex models including a lot of parameters resulting in difficulty while training them. Such models require high configuration machines for real-time human action recognition. Therefore, present research proposes the use of 2D skeleton features along with a KNN classifier based HAR system to overcome the aforementioned problems of complexity and response time. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Long short-term memory

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Multi-class spectral clustering based on particle swarm optimization

Multi-class spectral clustering based on particle swarm opti...

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Liu, Li-Feng Qu, Yan-Yun Li, Cui-Hua Xie, Yuan Department of Computer Science Video and Image Processing Lab. Xiamen University XiamenFujian 361005 China

ISBN: (纸本)9781424446070

Spectral clustering has been used in computer vision successfully in recent years, which refers to the algorithm that the global-optima is found in the relaxed continuous domain obtained by eigendecomposition, and then a multi-class clustering problem should solved by traditional clustering algorithm such as k-means. In this paper, we propose a novel spectral clustering algorithm based on particle swarm optimization (PSO). The major contribution of this work is to combine PSO technique with spectral clustering. In the multi-class clustering stage, the PSO is applied in the feature space to cluster the new data, each of which is a characterization of the original data. Experimental studies on PSO-based spectral clustering algorithm demonstrate that the proposed algorithm provides global convergence, steady performance and better accuracy. ©2009 IEEE.

关键词： Clustering algorithms

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An adaptive coding scheme using affine motion model for MPEG P-VOP

An adaptive coding scheme using affine motion model for MPEG...

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Proceedings - IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Li, Xiaohuan Jackson, Joel R. Katsaggelos, Aggelos K. Mersereau, Russell M. Ctr. for Image and Signal Processing Georgia Institute of Technology Atlanta GA United States Image and Video Processing Lab. Northwestern University Evanston IL United States

Block matching has been used for motion estimation and motion compensation in MPEG standards for years. While it has an acceptable performance in describing motion between frames, it requires quite a few bits to represent the motion vectors. In certain circumstances, the use of whole frame affine motion models would perform equally well or even better than block matching in terms of motion accuracy, while it results in the coding of only 6 parameters. In this paper, we modify an MPEG-4 codec by adding (1) 6 affine model parameters to the frame header, (2) mode selection among INTRA, SKIP, INTER-16×16, INTER-8×8, and GLOBAL-AFFINE modes by Lagrange optimal rate-distortion criteria. Simulation results demonstrate 10-20% decrease in bit-rate, compared to the MMS' codec for an average coded P-frame with the same reconstruction PSNR.

关键词： Motion estimation

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Character-based car plate detection and localization

Character-based car plate detection and localization

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International Conference on Information Science, Signal processing and Their Applications

作者： Setumin, S. Sheikh, U.U. Abu-Bakar, S.A.R. Computer Vision Video and Image Processing Research Lab. Department of Microelectronics and Computer Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9781424471676

In this paper we address the issue of locating non-standard Malaysian car license plate. Instead of searching the region for the plate, we directly locate the alphanumeric characters of the car plate. In this manner, we remove issues such as plate size variations and plates on black colored vehicles. Our main goal is to locate and extract the alphanumeric characters of Malaysian special plates. These special plates do not follow the normal standard car plates' format as they may contain italic, cursive and connected letters, and of different fonts. Using several parameters such as pixel compactness, angles, and projection histogram, we use ruledbased technique to locate and detect these special characters of the car plates. The results have shown that we are able to automatically locate with an accuracy of95%. © 2010 IEEE.

关键词： License plates (automobile)

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Gender estimation based on physiological features of the face

Gender estimation based on physiological features of the fac...

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International Conference on Information Science, Signal processing and Their Applications

作者： Ting, C.H. Sheikh, U.U. Abu-Bakar, S.A.R. Computer Vision Video and Image Processing Research Lab. Department of Microelectronics and Computer Engineering Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9781424471676

In this paper, we present a gender estimation technique that will determine whether a person looking at the camera is a male or female. Several facial features extracted from a face are passed to post-image-processing operations before they are sent to a rule-base classifier. We applied our technique to both static passport-like photos as well as several video sequences consisting of a single face each. Our database also contains images of females wearing headscarf as well as bald men. Our initial results showed a very promising outcome. For static face images, we obtained an accuracy of 100% correct gender estimation for females and 98% for males while for video sequences, the accuracy obtained was 87.5% for females and 70% for males. © 2010 IEEE.

关键词： video recording

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