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Multi-person Articulated Tracking with Spatial and Temporal Embeddings [article]

Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
2019 arXiv   pre-print
We propose a unified framework for multi-person pose estimation and tracking. Our framework consists of two main components,~\ie~SpatialNet and TemporalNet.  ...  Specifically, besides body part detection heatmaps, SpatialNet also predicts the Keypoint Embedding (KE) and Spatial Instance Embedding (SIE) for body part association.  ...  Introduction Multi-person articulated tracking aims at predicting the body parts of each person and associating them across temporal periods.  ... 
arXiv:1903.09214v1 fatcat:fnxhh7qqhfemnj3zhfqayj7gkq

Articulated Multi-body Tracking under Egomotion [chapter]

Stephan Gammeter, Andreas Ess, Tobias Jäggli, Konrad Schindler, Bastian Leibe, Luc Van Gool
2008 Lecture Notes in Computer Science  
In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer.  ...  We show the proposed approach's viability and demonstrate its performance for articulated multi-person tracking on several challenging video sequences of a busy inner-city scenario.  ...  This project has been funded in parts by Toyota Motor Corporation/Toyota Motor Europe and the EU projects DIRAC (IST-027787) and HERMES (IST-027110).  ... 
doi:10.1007/978-3-540-88688-4_60 fatcat:bz3y77qcvzf3fkjnwkcxvvq6fq

Natural metrics and least-committed priors for articulated tracking

Søren Hauberg, Stefan Sommer, Kim Steenstrup Pedersen
2012 Image and Vision Computing  
In articulated tracking, one is concerned with estimating the pose of a person in every frame of a film.  ...  We introduce the spatial kinematic manifold of joint positions, which is embedded in a high dimensional Euclidean space.  ...  Modelling Interaction with the Environment In practice, articulated tracking systems are often based on particle filters due to the multi-modality of the likelihood.  ... 
doi:10.1016/j.imavis.2011.11.009 fatcat:stdwtuffyzcifkdnlcen77yhoe

Temporally Guided Articulated Hand Pose Tracking in Surgical Videos [article]

Nathan Louis, Luowei Zhou, Steven J. Yule, Roger D. Dias, Milisa Manojlovich, Francis D. Pagani, Donald S. Likosky, Jason J. Corso
2021 arXiv   pre-print
We provide bounding boxes, articulated hand pose annotations, and tracking IDs to enable multi-instance area-based and articulated tracking.  ...  With a robust and accurate tracking system on in-vivo surgical videos, the motion dynamics and movement patterns of the hands can be captured and analyzed for many rich tasks.  ...  We introduce a new video dataset for multi-instance articulated hand pose tracking in the in-vivo surgical environment.  ... 
arXiv:2101.04281v2 fatcat:yjamozst6beyldailcsas36j7u

Combining detection and tracking for human pose estimation in videos [article]

Manchen Wang, Joseph Tighe, Davide Modolo
2020 arXiv   pre-print
fixed-length tracklets produced by the Clip Tracking Network to arbitrary length tracks; and (iii) a Spatial-Temporal Merging procedure that refines the joint locations based on spatial and temporal smoothing  ...  We propose a novel top-down approach that tackles the problem of multi-person human pose estimation and tracking in videos.  ...  [5] to Spatio-Temporal Affinity Fields (STAF), while Jin et al. [17] extended the spatial Associative Embedding image work of Newell et al. [21] to Spatio-Temporal Embedding.  ... 
arXiv:2003.13743v1 fatcat:wpsgqala2zgwjfd3qgbhg3bxxq

Accurate person tracking through changing poses for multi-view action recognition

Pradeep Natarajan, Prithviraj Banerjee, Ram Nevatia
2010 Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '10  
We represent the pose of the person in each track window using a grid-of-centroids model, and recognize the action by matching with a set of keyposes, in each frame.  ...  During the tracking process we also estimate the relative orientation and scale of the person.  ...  Our approach to track a person through pose articulation and large blob detection errors, works by first detecting the person in a known pose, and then tracking the overlapping blobs by perturbing the  ... 
doi:10.1145/1924559.1924580 dblp:conf/icvgip/NatarajanBN10 fatcat:nrmmqqyvu5aundcbu3yvooo63a

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective [article]

Wu Liu, Qian Bao, Yu Sun, Tao Mei
2021 arXiv   pre-print
2D and 3D, and the complex multi-person scenarios.  ...  We believe this survey will provide the readers with a deep and insightful understanding of monocular human pose estimation.  ...  To exploit temporal clues, multi-person pose estimation is usually associated with articulated tracking.  ... 
arXiv:2104.11536v1 fatcat:tdag2jq2vjdrjekwukm5nu7l6a

Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields

Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
We present an online approach to efficiently and simultaneously detect and track 2D poses of multiple people in a video sequence.  ...  Our approach uses only online inference and tracking, and is currently the fastest and the most accurate bottom-up approach that is runtime-invariant to the number of people in the scene and accuracy-invariant  ...  Figure 1 : 1 The real-time and online nature of such an approach introduces several challenges: i) scenes with multiple peo-We solve multi-person human pose tracking by encoding change in position and  ... 
doi:10.1109/cvpr.2019.00475 dblp:conf/cvpr/RaajIHS19 fatcat:rjlyvqexbbblvnckpigvy3yyme

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Wu Liu, Tao Mei
2022 ACM Computing Surveys  
Furthermore, we analyze the solutions for challenging cases, such as the lack of data, the inherent ambiguity between 2D and 3D, and the complex multi-person scenarios.  ...  We believe this survey will provide the readers (researchers, engineers, developers, etc.) with a deep and insightful understanding of monocular human pose estimation.  ...  To exploit temporal clues, multi-person pose estimation is usually associated with articulated tracking.  ... 
doi:10.1145/3524497 fatcat:4pbvntngrnfp7lqhcpjmy7p2fq

Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields [article]

Yaadhav Raaj and Haroon Idrees and Gines Hidalgo and Yaser Sheikh
2019 arXiv   pre-print
We present an online approach to efficiently and simultaneously detect and track the 2D pose of multiple people in a video sequence.  ...  Our approach uses only online inference and tracking, and is currently the fastest and the most accurate bottom-up approach that is runtime invariant to the number of people in the scene and accuracy invariant  ...  Figure 1 : 1 We solve multi-person human pose tracking by encoding change in position and orientation of keypoints or limbs across time as Temporal Affinity Fields (TAFs) in a recurrent fashion.  ... 
arXiv:1811.11975v3 fatcat:s2ymwyilrbazvm4ysaec4pgtei

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Liang, Lin AAM based Face Tracking with Temporal Matching and Face Segmentation Liao, Chia-Te Workshop: Learning Spatial Weighting via Quadratic Programming for Facial Expression Analysis Liao  ...  Tracking Torki, Marwan One-Shot Multi-Set Non-rigid Feature-Spatial Matching Putting Local Features on a Manifold Torr, Philip H.  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

A Two-stage Multi-view Analysis Framework for Human Activity and Interactions

Sangho Park, Mohan Trivedi
2007 2007 IEEE Workshop on Motion and Video Computing (WMVC'07)  
Main contributions of the paper are: (1) context-dependent camera handover for occlusion handling, (2) switching the multi-stage analysis between track-and body-level representations, and (3) a hypothesis-verification  ...  This paper presents a new framework for a multi-stage multi-view approach for human interactions and activity analysis.  ...  Acknowledgments This research was supported in part by US DoD Technical Support Working Group (TSWG) and by NSF RESCUE ITR-Project.  ... 
doi:10.1109/wmvc.2007.3 fatcat:dbxoplquvbg2thxsuegembubra

Dynamic Human Surface Reconstruction Using a Single Kinect

Ming Zeng, Jiaxiang Zheng, Xuan Cheng, Bo Jiang, Xinguo Liu
2013 2013 International Conference on Computer-Aided Design and Computer Graphics  
The second stage tracks movements of non-articulated motion.  ...  The first stage tracks the articulated motion of the human, which improves robustness of tracking by introducing more constraints between the surface points.  ...  The single-view setup possesses the simplicity by avoiding multi-camera calibration and synchronization, but requires a reasonable inference from spatial and temporal coherence (e.g. [3] , [4] ).  ... 
doi:10.1109/cadgraphics.2013.32 dblp:conf/cadgraphics/ZengZCJL13 fatcat:bahiyvmp2reptpmyhutkactfka

Data-Driven Importance Distributions for Articulated Tracking [chapter]

Søren Hauberg, Kim Steenstrup Pedersen
2011 Lecture Notes in Computer Science  
We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information.  ...  We define the importance distributions in the embedding space and project them onto the representation manifold.  ...  Motivation Articulated tracking is the process of estimating the pose of a person in each frame in an image sequence [1] .  ... 
doi:10.1007/978-3-642-23094-3_21 fatcat:suslxr6lrnfh7h3jtgh4hfolhu

The Temporalities of International Migration: Implications for Ethnographic Research [chapter]

Shanthi Robertson
2015 Social Transformation and Migration  
Using a conceptual framework of 'time tracks' (temporal paths of social behaviour) and 'timescales' (scales of social and political temporal ordering), the paper then discusses some of the core methodological  ...  Yet, methodologies that continue to work under assumptions of migration as temporally linear and spatially unidirectional movements from home to host country fail to capture much of the complexity of these  ...  Temporality may also be embedded within time tracks and timescales as a form of identity.  ... 
doi:10.1057/9781137474957_4 fatcat:3g62jfjhbffkrlczjupp6ytw3u
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