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Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion

Adrià Arbués-Sangüesa, Coloma Ballester, Gloria Haro
2019 Zenodo  
This paper presents an analysis of several geometric and semantic visual features to detect and track basketball players.  ...  The presented tracker consists of: (1) a detection step, which uses a pretrained deep learning model to estimate the players pose, followed by (2) a tracking step, which leverages pose and semantic information  ...  CONCLUSIONS In this article, a single-camera multi-tracker for basketball video sequences has been presented.  ... 
doi:10.5281/zenodo.3346759 fatcat:wqugixiyebe3zlhpc7byajgvtu

Automated Sports Player Performance Analysis: A Survey

احمد نادى, أمل أبوطبل, Ayman Atia
2021 النشرة المعلوماتیة فی الحاسبات والمعلومات  
fields and t-shirts.  ...  Identifying players in sports videos is a major research challenge due to low video resolution per player, camera perspective, variation of the posture of player, illumination conditions, variety of sports  ...  The use of the assignment problem lets constellation features and jersey numbers be merged flexibly through related cost matrices fusion.  ... 
doi:10.21608/fcihib.2021.61283.1019 fatcat:gt57kgphgffp5ai262jxam3qqm

Audio-Visual Classification of Sports Types

Rikke Gade, Mohamed Abou-Zleikha, Mads Graesboll Christensen, Thomas B. Moeslund
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
From these, four motion features are extracted and combined directly with audio features for classification.  ...  In this work we propose a method for classification of sports types from combined audio and visual features extracted from thermal video.  ...  [14] discusses the topic of multimodal feature extraction and fusion for semantic mining of soccer video, using both visual, audio, and text features.  ... 
doi:10.1109/iccvw.2015.104 dblp:conf/iccvw/GadeACM15 fatcat:t24lxktw4fd7xhajhfz7owlg64

A Survey of Content-Aware Video Analysis for Sports

Huang-Chia Shih
2018 IEEE transactions on circuits and systems for video technology (Print)  
Previous surveys have focused on the methodologies of sports video analysis from the spatiotemporal viewpoint instead of a content-based viewpoint, and few of these studies have considered semantics.  ...  and challenges.  ...  The algorithm generates accurate camera matrices for each frame by processing the clips through of the following four steps: ground-feature extraction, camera matrix computation, camera matrix refinement  ... 
doi:10.1109/tcsvt.2017.2655624 fatcat:rwqzu46sgfb7tpkcav4ysmh6ae

A context-aware middleware for real-time semantic enrichment of distributed multimedia metadata

Nikolaos Konstantinou, Emmanuel Solidakis, Anastasios Zafeiropoulos, Panagiotis Stathopoulos, Nikolas Mitrou
2009 Multimedia tools and applications  
Specifically, an approach is proposed for the real-time, rule-based semantic enrichment of lower level context features with higher-level semantics.  ...  The distinguishing characteristic is the provision of an intelligent middleware-based architecture on which low level components such as sensors, feature extraction algorithms, data sources, and high level  ...  Acknowledgment The work presented in this paper is carried out within the Priamos project, sponsored by the Greek General Secretarial of Research and Technology "Image, Sound, Language" research and development  ... 
doi:10.1007/s11042-009-0361-1 fatcat:m73ocmg6cngehl7hchllcklusm

A Novice Guide towards Human Motion Analysis and Understanding [article]

Ahmed Nabil Mohamed
2015 arXiv   pre-print
problem and refer to various algorithms and their suitability for different situations.  ...  Human motion analysis and understanding has been, and is still, the focus of attention of many disciplines which is considered an obvious indicator of the wide and massive importance of the subject.  ...  , single camera or multiple cameras, data fusion or active viewpoint selection), and environment settings (e.g., indoors or outdoors, single person or multiple persons).  ... 
arXiv:1509.01074v1 fatcat:kpqf277iw5f2bmlmog2ya2awci

Online Multiple Athlete Tracking with Pose-Based Long-Term Temporal Dependencies

Longteng Kong, Mengxiao Zhu, Nan Ran, Qingjie Liu, Rui He
2020 Sensors  
We evaluate our method on the APIDIS, NCAA Basketball and VolleyTrack databases, and the experiment results demonstrate its effectiveness.  ...  Firstly, we design a Pose-based Triple Stream Network (PTSN) based on Long Short-Term Memory (LSTM) networks, capable of modeling long-term temporal pose dynamics of athletes, including pose-based appearance  ...  ., site boundaries and static cameras. Xing et al.  ... 
doi:10.3390/s21010197 pmid:33396776 fatcat:5xqachvldbeb7f7kkzhjxcof3q

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., TCSVT Jan. 2020 217-231 Hu, X., see Zhu, L., TCSVT Oct. 2020 3358-3371 Hu, Y., Lu, M., Xie, C., and Lu, X  ...  ., and Zeng, B., MUcast: Linear Uncoded Multiuser TCSVT Nov. 2020 4299-4308 Hu, R., see Chen, L., TCSVT Dec. 2020 4513-4525 Hu, R., see Wang, X., TCSVT Nov. 2020 4309-4320 Hu, X., see Zhang, X  ...  Zheng, S., +, TCSVT Sept. 2020 3196-3209 Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recog- nition.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

Multi-modal human aggression detection

J.F.P. Kooij, M.C. Liem, J.D. Krijnders, T.C. Andringa, D.M. Gavrila
2016 Computer Vision and Image Understanding  
From the video side, the system uses overlapping cameras to track persons in 3D and to extract features regarding the limb motion relative to the torso.  ...  Cassandra accepted the proposal, received the gift, and then refused the god her favors.  ...  There, aggression was estimated based on audio detector for a single class of "verbal aggression", and motion features in a video stream from a single camera without any 3D localization or interaction  ... 
doi:10.1016/j.cviu.2015.06.009 fatcat:en22qbhyyrgvllogflc7kzh4ue

Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery [article]

Mahdieh Poostchi
2017 arXiv   pre-print
The proposed visual tracker is composed of one master tracker that usually relies on visual object features and two auxiliary trackers based on object temporal motion information that will be called dynamically  ...  We proposed a multi-component framework based on semantic fusion of motion information with projected building footprint map to significantly reduce the false alarm rate in urban scenes with many tall  ...  As target object moves through the field of view of a camera, the object appearance may change dramatically due to variations in pose, shape and scale or being partially or fully occluded.  ... 
arXiv:1711.01656v1 fatcat:w5okzgmz5ng5thxwq2p7dvwl6a

Design of Intelligent Perception Module Based on Wireless Sensor Network and Basketball Sports Attitude

Wei Jin, Xin Ning
2022 Wireless Communications and Mobile Computing  
The problem of a single sensor having a large error in monitoring human motion and attitude is addressed.  ...  The use of multisensor data fusion technology is used to propose a human motion pattern recognition method based on data fusion of accelerometer and gyroscope.  ...  Skin color as a hand feature requires little calculation, has a quick processing speed, and is unaffected by factors like pose shape, size, and direction.  ... 
doi:10.1155/2022/8227604 fatcat:rpzeteigsfbednpvznfdsm32ou

Browsing sports video: trends in sports-related indexing and retrieval work

A. Kokaram, N. Rea, R. Dahyot, M. Tekalp, P. Bouthemy, P. Gros, I. Sezan
2006 IEEE Signal Processing Magazine  
MOTION It is through the motion of the camera that the essential game elements are kept in view. It therefore stands to reason that the motion of the camera contains semantic infor-mation.  ...  Camera motion can be used to make inferences about the direction of play in soccer and cricket, while local motion of players and the ball are perhaps the most vital semantic features.  ... 
doi:10.1109/msp.2006.1621448 fatcat:h6k6ohtaa5fyrbeq3x4zznjf4i

Key Algorithm for Human Motion Recognition in Virtual Reality Video Sequences Based on Hidden Markov Model

Lei Liu, Yufeng Jiao, Fanwei Meng
2020 IEEE Access  
And feature fusion was performed for the above two parameters by the k-means method to construct the word pocket model.  ...  This paper provides an in-depth discussion of human motion recognition in Virtual Reality (VR) video sequences through hidden Markov models, which are four steps from VR video acquisition and pre-processing  ...  We placed CNNs in a multitasking learning framework to learn richer facial features with semantic properties and discriminative abilities by combining individual information and advanced human attributes  ... 
doi:10.1109/access.2020.3020591 fatcat:7yvy65l4ejailguprjoysgz4ni

A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living

Alexandros André Chaaraoui, Pau Climent-Pérez, Francisco Flórez-Revuelta
2012 Expert systems with applications  
At the motion level, pose and gaze estimation as well as basic human movement recognition are covered.  ...  Increasing the degree of semantics and the time interval involved in the HBA, finally the behaviour level is reached.  ...  This work has been partially supported by the Spanish Ministry of Science and Innovation under project "Sistema de visión para la monitorización de la actividad de la vida diaria en el hogar" (TIN2010-  ... 
doi:10.1016/j.eswa.2012.03.005 fatcat:dzew4wzj7ze3jc2tq4vnjicy2y

Front Matter: Volume 8050

Proceedings of SPIE, Ivan Kadar
2011 Signal Processing, Sensor Fusion, and Target Recognition XX  
The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee.  ...  The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted.  ...  The Semantic Web refers to the extension of the WWW through the embedding of additional semantic metadata; s.a. Web Ontology Language (OWL).  ... 
doi:10.1117/12.899094 fatcat:mn5fo3c7ijfadnlmjcjcclpal4
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