Filters








46,219 Hits in 8.0 sec

Qualitative assessment of recurrent human motion

Andre Ebert, Michael Till Beck, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien
2017 2017 25th European Signal Processing Conference (EUSIPCO)  
Therefore, our segmentation procedure extracts individual events of specific length and we propose expressive features to accomplish a qualitative motion assessment by supervised classification.  ...  We address this issue by presenting a concept for qualitative as well as generic assessment of recurrent human motion by processing multi-dimensional, continuous time series tracked with motion sensors  ...  CONCLUSION AND FUTURE WORK In this paper we presented a generic approach for dynamic and individual segmentation of recurrent human motion events as well as for qualitative assessment of complex human  ... 
doi:10.23919/eusipco.2017.8081218 dblp:conf/eusipco/EbertBMBL17 fatcat:dehfxdrnmfcifga45ucfcgf5nq

Qualitative Assessment Of Recurrent Human Motion

Michael Beck, Lenz Belzner, André Ebert, Claudia Linnhoff-Popien, Andy Mattausch
2018 Zenodo  
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017  ...  CONCLUSION AND FUTURE WORK In this paper we presented a generic approach for dynamic and individual segmentation of recurrent human motion events as well as for qualitative assessment of complex human  ...  Concluding, we are not aware of a concept which enables qualitative assessment of human motion in a generic way and without being bound to predefined motions or equipment.  ... 
doi:10.5281/zenodo.1159570 fatcat:as7fq6uutzd37cybw72fvkgcx4

Segmenting motion capture data using a qualitative analysis

Durell Bouchard, Norman I. Badler
2015 Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games - SA '15  
We present a method to automatically produce semantic segmentations of general motion capture data by examining the qualitative properties that are intrinsic to all motions, using Laban Movement Analysis  ...  We present a method to automatically produce semantic segmentations of general motion capture data by examining the qualitative properties that are intrinsic to all motions, using Laban Movement Analysis  ...  We present a method that uses a qualitative analysis of motion that both produces semantic segmentations of motion capture data and is effective on general motion capture data.  ... 
doi:10.1145/2822013.2822039 dblp:conf/mig/BouchardB15 fatcat:ykyfkxfuobb4bmlgqcml3wd764

Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting

Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, Tahar Kechadi
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In this paper, we present a novel segmentation technique that integrates on-the-fly qualitative classification of physical movements in the process.  ...  Experimental results are promising and show that combining segmentation and classification of orthopaedic movements is a valid method with many potential real-world applications.  ...  Acknowledgments The Insight Centre for Data Analytics is supported by Science Foundation Ireland under Grant Number 12/RC/2289 P2.  ... 
doi:10.1609/aaai.v34i08.7028 fatcat:5ihg7rfsene3deckb6sexsdxem

MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving [article]

Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Yogamani, Martin Jagersand, Ahmad El-Sallab
2017 arXiv   pre-print
One of our interesting conclusions is that joint training of motion segmentation and vehicle detection benefits motion segmentation.  ...  Motion segmentation has relatively fewer data, unlike the detection task. However, the shared fusion encoder benefits from joint training to learn a generalized representation.  ...  The output segmentation and vehicles' static/moving classification is evaluated on KITTI MOD data. Table III shows the results from the joint detection and motion segmentation.  ... 
arXiv:1709.04821v2 fatcat:r6m52v6ozbdkhhw5sp3s4ybxve

Self-supervised Segmentation by Grouping Optical-Flow [chapter]

Aravindh Mahendran, James Thewlis, Andrea Vedaldi
2019 Lecture Notes in Computer Science  
Preliminary results suggest that the segments obtained are reasonable and the representation learned transfers well for classification.  ...  The task is to learn a representation of single images and the supervision for this is obtained by learning to group image pixels in such a way that their collective motion is "coherent".  ...  Acknowledgements: The authors gratefully acknowledge the support of ERC 677195-IDIU and AIMS CDT (EPSRC EP/L015897/1).  ... 
doi:10.1007/978-3-030-11021-5_31 fatcat:337u756u6raf5no2fybbndq5nm

Recognition of Human Motion From Qualitative Normalised Templates

Chee Seng Chan, Honghai Liu, David J. Brown
2006 Journal of Intelligent and Robotic Systems  
The QNTs is developed to categorise complex human motion into sets of fuzzy qualitative angles and positions in quantity space.  ...  This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem.  ...  However, accurate classification of human motion is still an under-constrained problem because the features usually used by previous methods reflect human body part motion and are generally provided by  ... 
doi:10.1007/s10846-006-9100-2 fatcat:rpqqcx6zqvefrfp3uhfpyaquay

A fuzzy qualitative approach to human motion recognition

Chee Seng Chan, Honghai Liu, David Brown, Naoyuki Kubota
2008 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)  
The understanding of human motions captured in image sequences pose two main difficulties which are often regarded as computationally ill-defined: 1) modelling the uncertainty in the training data, and  ...  Finally, in order to construct a template that is regarded as a combination ordered sequence of all body segments movements, robot kinematics, a well-defined solution to describe the resulting motion of  ...  Again, this has proof that the QNTs are generic even with different body anatomy and motion styles. Finally, HMMs are also notoriously sensitive to the precision of featured data.  ... 
doi:10.1109/fuzzy.2008.4630530 dblp:conf/fuzzIEEE/ChanLBK08 fatcat:iifcifb2vfhkfo6y6lzoecqbca

Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework [article]

Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton
2021 arXiv   pre-print
We quantitatively compare the proposed framework's classification performance with several other methods from the literature and qualitatively evaluate the visualization's veracity.  ...  These features are then used to identify the body-parts with the greatest contribution towards a classification decision and highlight the related body-part segment providing visual feedback to the user  ...  +) or absent (FM-), subsequently identifying normal or abnormal general movements from segments of the sequence.  ... 
arXiv:2106.04966v1 fatcat:j452jepfuzf5pk5wft3zn7s3zy

Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework

Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton
2021 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)  
We quantitatively compare the proposed framework's classification performance with several other methods from the literature and qualitatively evaluate the visualization's veracity.  ...  These features are then used to identify the body-parts with the greatest contribution towards a classification decision and highlight the related body-part segment providing visual feedback to the user  ...  +) or absent (FM-), subsequently identifying normal or abnormal general movements from segments of the sequence.  ... 
doi:10.1109/bhi50953.2021.9508603 fatcat:lovrdvoqnra63fq4q766k265ra

Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos [article]

Bo Xiong, Suyog Dutt Jain, Kristen Grauman
2018 arXiv   pre-print
We propose an end-to-end learning framework for segmenting generic objects in both images and videos.  ...  Through experiments on multiple challenging image and video segmentation benchmarks, our method offers consistently strong results and improves the state-of-the-art for fully automatic segmentation of  ...  ACKNOWLEDGEMENTS This research is supported in part by ONR YIP N00014-12-1-0754, an AWS Machine Learning Research Award, and DARPA Lifelong Learning Machines.  ... 
arXiv:1808.04702v2 fatcat:jvin6gvjwndehjcbz3n336e5f4

Geometric Context from Videos

S. Hussain Raza, Matthias Grundmann, Irfan Essa
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
motion features.  ...  Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric classes, based on predictions made by region-classifiers that are trained on appearance and  ...  Finally, some qualitative miss-classifications are illustrated in Figure 10 . Importance of Features: We are using a wide variety of features covering appearance and motion.  ... 
doi:10.1109/cvpr.2013.396 dblp:conf/cvpr/RazaGE13 fatcat:p5qbj4mkivbzjayzuchwvusohi

Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos

2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We propose an end-to-end learning framework for segmenting generic objects in both images and videos.  ...  Through experiments on multiple challenging image and video segmentation benchmarks, our method offers consistently strong results and improves the state-of-the-art for fully automatic segmentation of  ...  This material is based on research sponsored by the Air Force Research Laboratory and DARPA under agreement number FA8750-18-2-0126. The U.S.  ... 
doi:10.1109/tpami.2018.2865794 pmid:30130176 fatcat:nmx3kdvw7vcslfgb623lwc4ose

Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition

Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, Rene Vidal, Ruzena Bajcsy
2012 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
As a consequence, such approaches do not provide any qualitative insight that relates an action to the actual motion of the body or its parts.  ...  For example, it is not necessarily the case that clapping can be correlated to hand motion or that walking can be correlated to a specific combination of motions from the feet, arms and body.  ...  This work was supported in part by the grants NSF 0941362, NSF 0941463 and NSF 0941382.  ... 
doi:10.1109/cvprw.2012.6239231 dblp:conf/cvpr/OfliCKVB12 fatcat:vby5tpdxpba2vfh3jczvm347fu

Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition

Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy
2014 Journal of Visual Communication and Image Representation  
As a consequence, such approaches do not provide any qualitative insight that relates an action to the actual motion of the body or its parts.  ...  For example, it is not necessarily the case that clapping can be correlated to hand motion or that walking can be correlated to a specific combination of motions from the feet, arms and body.  ...  This work was supported in part by the grants NSF 0941362, NSF 0941463 and NSF 0941382.  ... 
doi:10.1016/j.jvcir.2013.04.007 fatcat:yk6o3ungzjdr7emx7gigjhl4oi
« Previous Showing results 1 — 15 out of 46,219 results