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Interactive Sports Analytics

Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer Hobbs, Charlie Rohlf, Sridha Sridharan
2018 ACM Transactions on Computer-Human Interaction  
We also show how our interface can be utilized for broadcast purposes, where a user can draw and interact with trajectories on a broadcast view using computer vision techniques.  ...  Additionally, we show that our method can also be used for interactive analytics of player performance, which enables the users to move players around and see how performance changes as a function of position  ...  Carr of Disney Research Pittsburgh for his guidance in the computer vision part of this work.  ... 
doi:10.1145/3185596 fatcat:ltffscrhbvbjzbhvi7ensgpydi

A Survey on Trajectory Data Management, Analytics, and Learning [article]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage  ...  and spatial-textual trajectory data, and trajectory clustering.  ...  For range queries, most existing approaches employ MBR-based pruning, as MBR intersection with a query trajectory can be used to prune effectively and efficiently prune the search space.  ... 
arXiv:2003.11547v2 fatcat:5gf5h5skqjbrhf67cflygggnky

A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics [article]

Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luis Paulo Reis
2021 arXiv   pre-print
This work deals with the problem of developing a robust hybrid stabilizer system for biped robots.  ...  When facing external disturbances, humans efficiently and unconsciously combine a set of strategies to regain stability.  ...  For the configurations that included data augmentation, the best performing ratios were 1/4 and 1/2, with very similar results.  ... 
arXiv:2011.13798v2 fatcat:ff4uu6seana4za2ko7xiykwaq4

Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations [article]

Oliwier Melon, Mathieu Geisert, David Surovik, Ioannis Havoutis, Maurice Fallon
2020 arXiv   pre-print
This work builds toward an online system which can efficiently and robustly replan dynamic trajectories.  ...  The most recent model predictive control approaches for these systems can generate robust dynamic motion of short duration; however, planning over a longer time horizon may be necessary when navigating  ...  As a result, legged robots need a flexible motion planning approach to efficiently and robustly perform their tasks.  ... 
arXiv:2002.06719v1 fatcat:224vlcrbqbcrfog5asl7l4zunq

Metric Learning for Simulation Analytics

Graham Laidler, Lucy E. Morgan, Barry L. Nelson, Nicos G. Pavlidis
2020 2020 Winter Simulation Conference (WSC)  
An evaluation of our approach is provided on a stochastic activity network and a wafer fabrication facility, both of which give us confidence in the ability of metric learning to provide interpretation  ...  This model is built on the premise of a system-specific measure of similarity between observations of the state, which we inform via metric learning.  ...  ACKNOWLEDGMENTS We gratefully acknowledge the support of the EPSRC funded EP/L015692/1 STOR-i Centre for Doctoral Training and the EPSRC NPIF fund EP/S515127/1.  ... 
doi:10.1109/wsc48552.2020.9383904 fatcat:afke77arkjb3zegdzpbiqqnwre

Adaptive Entry Guidance for Hypersonic Gliding Vehicles Using Analytic Feedback Control

Xunliang Yan, Peichen Wang, Shaokang Xu, Shumei Wang, Hao Jiang, Xiangwei Bu
2020 International Journal of Aerospace Engineering  
The core of the constrained guidance approach is a closed-form, easily obtained, and computationally efficient feedback control law that yields the analytic bank command based on the well-known quasi-equilibrium  ...  A considerable range of entry flights using the vehicle data of the CAV-H is tested. Simulation results demonstrate the effectiveness and performance of the presented approach.  ...  The efficiency, robustness, and adaptability are dramatically confirmed and approved again.  ... 
doi:10.1155/2020/8874251 fatcat:ftrpd7luovadzclxrsvqivu7cy

Deep Learning based Urban Vehicle Trajectory Analytics [article]

Seongjin Choi
2021 arXiv   pre-print
As a result, the objective of this dissertation is to develop deep-learning based models for urban vehicle trajectory analytics to better understand the mobility patterns of urban traffic networks.  ...  Rapid advancements in location sensing and wireless communication technology enabled us to collect and store a massive amount of trajectory data.  ...  Urban vehicle trajectory analytics has both challenges: data sparsity and data privacy issues.  ... 
arXiv:2111.07489v1 fatcat:zanf5aj7unfb5joey3f7lzhtbm

Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations

Oliwier Melon, Mathieu Geisert, David Surovik, Ioannis Havoutis, Maurice Fallon
2020 2020 IEEE International Conference on Robotics and Automation (ICRA)  
This work builds toward an online system which can efficiently and robustly replan dynamic trajectories.  ...  The most recent model predictive control approaches for these systems can generate robust dynamic motion of short duration; however, planning over a longer time horizon may be necessary when navigating  ...  As a result, legged robots need a flexible motion planning approach to efficiently and robustly perform their tasks.  ... 
doi:10.1109/icra40945.2020.9196562 fatcat:sw43c22erbc4bmzh4hkngujq7q

An Introduction to Sensor Data Analytics [chapter]

Charu C. Aggarwal
2012 Managing and Mining Sensor Data  
The Ken framework has two types of entities, sink and source. Their functionalities and capabilities are similar to the PRESTO proxy and the A Generic Push-Based Approach.  ...  The last pushbased approach that we will survey is a generalized version of other push-based approaches [38]. This approach is proposed by Silberstein et al. [61].  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1007/978-1-4614-6309-2_1 fatcat:pfbx566yfzgqpnjcuzonmxr23q

Big Mobility Data Analytics: Algorithms and Techniques for Efficient Trajectory Clustering

Panagiotis Tampakis
2020 2020 21st IEEE International Conference on Mobile Data Management (MDM)  
Our approach further contributes to the mobility data management and mining domain for the additional reason that it has been designed and implemented in a MOD engine.  ...  , analytics and knowledge extraction from mobility data.  ...  However, this kind of approaches operate at  ... 
doi:10.1109/mdm48529.2020.00055 dblp:conf/mdm/Tampakis20 fatcat:yn3aoqxgtfde7ntdk6b57bcmni

Analytic ray curve tracing for outdoor sound propagation

Qi Mo, Hengchin Yeh, Ming Lin, Dinesh Manocha
2016 Applied Acoustics  
Implicit cell A mesh-less approach is used for media traversal, tracing ray curve segments of adaptive sizes based on on-the-fly sampling of the media profile.  ...  Overall this analytic ray curve tracer is designed to be efficient for general media profiles and complex scenes with tens of thousands of surface primitives.  ...  Acknowledgements This research was supported in part by ARO Contracts W911NF-12-1-0430, W911NF-13-C-0037,W911NF-14-1-0437, and the National Science Foundation (NSF awards 1320644 and 1305286). [1] E.  ... 
doi:10.1016/j.apacoust.2015.10.011 fatcat:7foiz25hube53f4xnmoobt2tde

Edge-based Video Analytic for Smart Cities

Dipak Pudasaini, Abdolreza Abhari
2021 International Journal of Advanced Computer Science and Applications  
The problems of cloudbased approach for video analytic are high latency and more network bandwidth to transfer data into the cloud.  ...  The experimental verification shows that our tracking model is more than 96% accurate, and the proposed edge and cloud-based model is more than 80% effective than only cloudbased approach for video analytic  ...  The future work will improve the deep learning-based object detection and tracking method.  ... 
doi:10.14569/ijacsa.2021.0120701 fatcat:mj7urnr2o5hg7k6japmcml32nq

Uncertainty-aware video visual analytics of tracked moving objects

Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann
2011 Journal of Spatial Information Science  
To alleviate these issues, we present a scalable and reliable approach exploiting the visual analytics methodology.  ...  We establish the interface between user and machine adopting the VideoPerpetuoGram (VPG) for visualization and enable users to provide filter-based relevance feedback.  ...  Acknowledgments We thank the reviewers for their useful comments and advice.  ... 
doi:10.5311/josis.2010.2.1 fatcat:sjwie4i7gvhrxjhg6gsj2solmu

Uncertainty-aware video visual analytics of tracked moving objects

Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann
2011 Journal of Spatial Information Science  
To alleviate these issues, we present a scalable and reliable approach exploiting the visual analytics methodology.  ...  We establish the interface between user and machine adopting the VideoPerpetuoGram (VPG) for visualization and enable users to provide filter-based relevance feedback.  ...  Acknowledgments We thank the reviewers for their useful comments and advice.  ... 
doi:10.5311/josis.2011.2.1 fatcat:zuus4qlf5rbvtcbnahvtieunhi

Urban Anomaly Analytics: Description, Detection, and Prediction [article]

Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng
2020 arXiv   pre-print
., trajectory, trip records, CDRs, urban sensors, event records, environment data, social media and surveillance cameras.  ...  In this survey, we make a comprehensive review of the state-of-the-art research on urban anomaly analytics.  ...  As for the trips of similar start point and destination, their travel distance should also be similar and around a constant. Based on this fact, Zhang et al.  ... 
arXiv:2004.12094v1 fatcat:ixtrfb546nblbjub7jvzqgumrq
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