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Review of constraints on vision-based gesture recognition for human–computer interaction

Biplab Ketan Chakraborty, Debajit Sarma, M.K. Bhuyan, Karl F MacDorman
2018 IET Computer Vision  
The ability of computers to recognize hand gestures visually is essential for progress in human-computer interaction.  ...  This paper surveys major constraints on vision-based gesture recognition occurring in detection and pre-processing, representation and feature extraction, and recognition.  ...  -Mesa Imaging's SwissRanger SR4000 R : depth range of 5-10 m with 176 × 144 resolution. Some recent gesture recognition methods using ToF are given in [58] [59] [60] .  ... 
doi:10.1049/iet-cvi.2017.0052 fatcat:fs2l3o27vveqjlanldjmziuudi

Natural UAV tele-operation for agricultural application by using Kinect sensor

Xuanchun Yin, Yubin Lan, Sheng Wen, Jiantao Zhang, Shifan Wu
2018 International Journal of Agricultural and Biological Engineering  
Therefore, gesture recognition-based UAV teleoperation control is easy to learn and master. In addition, a new real time human hand gesture recognition algorithm was proposed.  ...  In UAV teleoperation scenario, human operator gestures measured by using Kinect sensor can be used as control commands for UAV flight.  ...  Human action recognition may become a widespread application in our future life, partly owing to Kinect sensors with the characteristics of low-cost high resolution depth and visual (RGB) sensing.  ... 
doi:10.25165/j.ijabe.20181103.4096 fatcat:lkc5zlcq2raerkuqgzvz6cgdfe

Multi-Camera Human Activity Monitoring

Loren Fiore, Duc Fehr, Robot Bodor, Andrew Drenner, Guruprasad Somasundaram, Nikolaos Papanikolopoulos
2008 Journal of Intelligent and Robotic Systems  
This paper presents original work in the area of multiple camera human activity monitoring.  ...  Finally, an active dualcamera system for task recognition at multiple resolutions is developed and tested.  ...  In addition, the high resolution images from the pan/tilt/zoom camera can be used for more sophisticated activity recognition such as articulated motion classification, gait recognition, and so forth.  ... 
doi:10.1007/s10846-007-9201-6 fatcat:uau54wnkjbbwfikxxuvupod7oi

Multiple views based human motion tracking in surveillance videos

Bogdan Kwolek
2011 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
Most work on activity recognition focuses on 2D image properties, holistic spatiotemporal representations, or space-time shapes in image domain rather than with 3D pose in a body-centric or world frame  ...  The estimation of the 3D articulated motion is achieved using a modified particle swarm optimization.  ...  Acknowledgement This paper has been supported by the research project OR00002111: "Video surveillance systems for person and behavior identification and threat detection, using biometrics and inference of 3D human  ... 
doi:10.1109/avss.2011.6027382 dblp:conf/avss/Kwolek11 fatcat:tswdcicjxfeptci34nn45mz52y

Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation [article]

Shuangjun Liu, Sarah Ostadabbas
2019 arXiv   pre-print
We reformulated this problem using our proposed Under the Cover Imaging via Thermal Diffusion (UCITD) method to capture the high resolution pose information of the body even when it is fully covered by  ...  Human in-bed pose estimation has huge practical values in medical and healthcare applications yet still mainly relies on expensive pressure mapping (PM) solutions.  ...  Let's assume the majority of the physical entities in the world (e.g. human body) can be modeled as articulated rigid bodies by ignoring their non-rigid deformation.  ... 
arXiv:1907.02161v3 fatcat:vmalfwy6nraqzcdb7hqhi7g63y

Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos

Ehsan Rezazadeh Azar, Brenda McCabe
2012 Automation in Construction  
In this paper, we describe an object recognition system based on mixture of appearances of deformable body parts of the hydraulic excavator and compare its results with general histogram of oriented gradients  ...  detectors in both images and videos.  ...  Articulated object recognition Object recognition in digital images is challenging due to changing viewpoints, illumination, occlusions, and scale.  ... 
doi:10.1016/j.autcon.2012.03.003 fatcat:knmyqsnaybflrnrpcanuzkqgla

Representation, Analysis, and Recognition of 3D Humans

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu
2018 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
For many years, 2D still images and videos have been used as the only sources to investigate methods for detecting, representing and analyzing human body and face [176] .  ...  ., across time), with resulting scans obtained at high-or low-resolution.  ...  Before summarizing methods that operate on low-resolution depth data, we focus on 4D body modeling from high-resolution scans. Body Modeling.  ... 
doi:10.1145/3182179 fatcat:ds55t4md2na2tibtyg4llerf3q

Unobtrusive Sleep Monitoring Using Movement Activity by Video Analysis

Yuan-Kai Wang, Hong-Yu Chen, Jian-Ru Chen
2019 Electronics  
High accuracy of the experiments demonstrates the validity of the proposed method.  ...  This paper proposes a robust method for sleep pose analysis with human joints model.  ...  The authors gratefully acknowledge the support of Chia-Mo Lin and Hou-Chang Chiu for their valuable comments in obstructive sleep apnea.  ... 
doi:10.3390/electronics8070812 fatcat:ditgc4n5ordxzpskqrhppuso6q

Interactive activity recognition using pose-based spatio–temporal relation features and four-level Pachinko Allocation Model

Thien Huynh-The, Ba-Vui Le, Sungyoung Lee, Yongik Yoon
2016 Information Sciences  
We validate our interaction recognition method on two practical data sets, the BIT-Interaction data set and the UT-Interaction data set.  ...  In this paper, we go beyond the problem of recognizing video-based human interactive activities.  ...  The INRIA Person data set comprises non-person images while the Image Parse data set contains 305 pose-annotated images of greatly articulated full-body human poses.  ... 
doi:10.1016/j.ins.2016.06.016 fatcat:xaesiv7qivdy7la53h2qmukk54

Human Pose Estimation and Activity Recognition From Multi-View Videos: Comparative Explorations of Recent Developments

Michael B. Holte, Cuong Tran, Mohan M. Trivedi, Thomas B. Moeslund
2012 IEEE Journal on Selected Topics in Signal Processing  
We report a comparison of the most promising methods for multi-view human action recognition using two publicly available datasets: the INRIA Xmas Motion Acquisition Sequences (IXMAS) Multi-View Human  ...  Finally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D body pose estimation and human action recognition.  ...  Fig. 3 . 3 Common steps in model-based methods for articulated human body pose estimation using multi-view input. Dashed boxes mean that some methods mayor may not have all of these steps.  ... 
doi:10.1109/jstsp.2012.2196975 fatcat:2sqvghpigzczzlrrl3iziyg63a

Appearance Modeling Using a Geometric Transform

Jian Li, S.K. Zhou, R. Chellappa
2009 IEEE Transactions on Image Processing  
Applications of GeT to pedestrian identity recognition, human body part segmentation, and image synthesis are illustrated.  ...  The proposed approach produces promising results when applied to fingerprinting the appearance of a human and body parts despite the presence of non-rigid deformations and articulated motion.  ...  The articulating appearance variations of humans and body parts provide very good examples for our study.  ... 
doi:10.1109/tip.2008.2011381 pmid:19278925 fatcat:bedpb3xtafcaffcsejnshkp5ve

3D Semantic Trajectory Reconstruction from 3D Pixel Continuum

Jae Shin Yoon, Ziwei Li, Hyun Soo Park
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
This paper presents a method to assign a semantic label to a 3D reconstructed trajectory from multiview image streams.  ...  ., millions of trajectories) involving real-world human interactions with object, scenes, and people.  ...  articulated body [42] and shape basis [8, 41] are not applicable. (2) Noisy and coarse recognition: existing visual recognition systems were largely built on single view images, which are often fragile  ... 
doi:10.1109/cvpr.2018.00531 dblp:conf/cvpr/YoonLP18 fatcat:pemei4a6g5ef7k5ps7tlsdmm6e

Activity summarisation and fall detection in a supportive home environment

H. Nait-Charif, S.J. McKenna
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment.  ...  Learned models of spatial context are used in conjunction with a tracker to achieve these goals.  ...  Furthermore, the clothing and body postures that will be encountered are highly variable and it cannot be assumed that the articulated structure of the body will be apparent.  ... 
doi:10.1109/icpr.2004.1333768 dblp:conf/icpr/Nait-CharifM04 fatcat:prhzthgierbztck6yuciw3lav4

The Visual Analysis of Human Movement: A Survey

D.M Gavrila
1999 Computer Vision and Image Understanding  
The scope of this survey is limited to work on whole-body or hand motion; it does not include work on human faces.  ...  The ability to recognize humans and their activities by vision is key for a machine to interact intelligently and effortlessly with a human-inhabited environment.  ...  In all the applications discussed above, a nonintrusive sensory method based on vision is preferable over a (in some cases a not even feasible) method that relies on markers attached to the bodies of the  ... 
doi:10.1006/cviu.1998.0716 fatcat:ep75ekg4h5elzebmm3pasqlqdy

Human detection in surveillance videos and its applications - a review

Manoranjan Paul, Shah M E Haque, Subrata Chakraborty
2013 EURASIP Journal on Advances in Signal Processing  
A comprehensive review with comparisons on available techniques for detecting human beings in surveillance videos is presented in this paper.  ...  Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, congestion analysis, person identification  ...  However, the articulation of the human body and differences in observed viewpoints lead to a large number of possible appearances of the body, making it difficult to accurately distinguish a moving human  ... 
doi:10.1186/1687-6180-2013-176 fatcat:hucglmedkrffxdvyo4fi7lthqa
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