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Computer Vision and Image Understanding
A Bayesian Computer Vision System for Modeling Human Interactions
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Workflows for e-Science: Scientific Workflows for Grids
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HPC and Grid Computing for Integrative Biomedical Research
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E-SCIENCE '09 Proceedings of the 2009 Fifth IEEE International Conference on e-Science
Modeling and recognition of complex multi-person interactions in video
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Recognizing pair-activities by causality analysis
ACM Transactions on Intelligent Systems and Technology (TIST)
Activity recognition by integrating the physics of motion with a neuromorphic model of perception
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Query-based retrieval of complex activities using "strings of motion-words"
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Human activity analysis: A review
ACM Computing Surveys (CSUR)
Physics-based activity modelling in phase space
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Wings: Intelligent Workflow-Based Design of Computational Experiments
IEEE Intelligent Systems
The Open Provenance Model core specification (v1.1)
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Proceedings of the 6th workshop on Workflows in support of large-scale science
ESCIENCE '11 Proceedings of the 2011 IEEE Seventh International Conference on eScience
Computer Vision and Action Recognition: A Guide for Image Processing and Computer Vision Community for Action Understanding
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Large-scale multimedia content analysis using scientific workflows
Proceedings of the 21st ACM international conference on Multimedia
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Understanding pair-wise activities is an essential step towards studying complex group and crowd behaviors in video. However, such research is often hampered by a lack of datasets that concentrate specifically on Atomic Pair Actions; [Here, we distinguish between the atomic motion of individual objects and the atomic motion of pairs of objects. The term action in Atomic Pair Action means an atomic interaction movement of two objects in video; a pair activity, then, is composed of multiple actions by a pair or multiple pairs of interacting objects (Ahad, 2011; Turaga et al., 2008). Please see Section 1 for details.] in addition, the general dearth in computer vision of a standardized, structured approach for reproducing and analyzing the efficacy of different models limits the ability to compare different approaches. In this paper, we introduce the ISI Atomic Pair Actions dataset, a set of 90 videos that concentrate on the Atomic Pair Actions of objects in video, namely converging, diverging, and moving in parallel. We further incorporate a structured, end-to-end analysis methodology, based on workflows, to easily and automatically allow for standardized testing of state-of-the-art models, as well as inter-operability of varied codebases and incorporation of novel models. We demonstrate the efficacy of our structured framework by testing several models on the new dataset. In addition, we make the full dataset (the videos, along with their associated tracks and ground truth, and the exported workflows) publicly available to the research community for free use and extension at .