Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification

Juan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei · European Conference on Computer Vision · 2010

Summary

A framework for modeling motion by exploiting the temporal structure of the human activities, which represents activities as temporal compositions of motion segments, and shows that the algorithm performs better than other state of the art methods.

Published: 2010-09-05
Cited by: 824
References: 30
Access: Open access
DOI: https://doi.org/10.1007/978-3-642-15552-9_29
Semantic Scholar: https://api.semanticscholar.org/CorpusID:14779543

References

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Unsupervised Learning of Human Action Categories Using Spatial-Temporal WordsJuan Carlos Niebles, Hesheng Wang, Hongcheng Wang — 2008
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Cited by

Explicit Modeling of Human-Object Interactions in Realistic VideosGilda Maria Rodrigues do Nascimento — 2013
Exemplar-Based Human Action Pose Correction大横溝 — 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildKhurram Soomro, Amir Zamir, Mubarak Shah — 2012
Hierarchical Latent Concept Discovery for Video Event DetectionD Maxime — 2017
From Flat to Hierarchical: Modeling Structures in Visual RecognitionYang Wu — 2013
Discriminative latent variable models for visual recognitionWeilong Yang — 2012
Modèles structurés pour la reconnaissance d'actions dans des vidéos réalistesAdrien Gaidon — 2012
A KEY POSE MODEL FOR HUMAN INTERACTION RECOGNITION AND COLOR FROM GRAY BY OPTIMIZED COLOR ORDERINGArash Vahdat — 2011
Analyzing Complex Events and Human Actions in "in-the-wild" VideosHyungtae Lee — 2014
Reconnaissance d'actions en temps réel à partir d'exemples. (Real time actions recognition from examplars)Mathieu Barnachon — 2013
Learning affinities of exemplar videos for multi-view action recognitionAnirban Roy — 2013
Mid-level Features Improve Recognition of Interactive ActivitiesKate Saenko, Ben Packer, C. Chen — 2012
Video clustering using camera motionLaura Tort Alsina — 2012
Temporal Extension of Scale Pyramid and Spatial Pyramid Matching for Action RecognitionZhenzhong Lan, Xuanchong Li, Alexandar G. Hauptmann — 2014
Learning Temporal Embeddings for Complex Video AnalysisVignesh Ramanathan, Kevin Tang, Greg Mori — 2015
Feature Quantization and Pooling for VideosEkaterina H. Taralova — 2014
Weakly supervised methods for learning actions and objectsAlessandro Prest — 2013
Reconnaissance d'activités humaines à partir de séquences vidéo. (Human activity recognition from video sequences)Mouna Selmi — 2014
Unsupervised Semantic Parsing of Video CollectionsOzan Şener, Amir Zamir, Silvio Savarese — 2015
Understanding Visual Information: from Unsupervised Discovery to Minimal Effort Domain AdaptationG. Zen — 2015

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