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A method for human action recognition
Image and Vision Computing, 2003Abstract This article deals with the problem of classification of human activities from video. Our approach uses motion features that are computed very efficiently, and subsequently projected into a lower dimensional space where matching is performed.
Osama Masoud, Nikolaos Papanikolopoulos
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On an algorithm for human action recognition
Expert Systems with Applications, 2019Abstract Human action recognition which needs video processing in real time, requires large memory size and execution time. This work proposes a local maxima of difference image (LMDI) based interest point detection technique, random projection tree with overlapping split and modified voting score for human action recognition.
Suraj Prakash Sahoo, Samit Ari
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View invariants for human action recognition
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003This paper presents two approaches for the representation and recognition of human action in video, aiming for view-point invariance. The paper first presents new results using a 2D approach presented earlier. Inherent limitations of the 2D approach are discussed and a new 3D approach that builds on recent work on 3D model-based invariants, is ...
Vasu Parameswaran, Rama Chellappa
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Cross-Domain Human Action Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Conventional human action recognition algorithms cannot work well when the amount of training videos is insufficient. We solve this problem by proposing a transfer topic model (TTM), which utilizes information extracted from videos in the auxiliary domain to assist recognition tasks in the target domain. The TTM is well characterized by two aspects: 1)
Wei Bian 0003, Dacheng Tao, Yong Rui
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Human activity recognition with action primitives
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007This paper considers the link between tracking algorithms and high-level human behavioural analysis, introducing the action primitives model that recovers symbolic labels from tracked limb configurations. The model consists of similar short-term actions, action primitives clusters, formed automatically and then labelled by supervised learning.
Zsolt L. Husz +2 more
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Transfer Learning for Human Action Recognition
2011 24th SIBGRAPI Conference on Graphics, Patterns and Images, 2011To manually collect action samples from realistic videos is a time-consuming and error-prone task. This is a serious bottleneck to research related to video understanding, since the large intra-class variations of such videos demand training sets large enough to properly encompass those variations.
Ana Paula Brandão Lopes +4 more
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3D CNN for Human Action Recognition
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021Recognizing different human actions from still images or videos is an important research area in the computer vision and artificial intelligence domains. It represents a key step for a wide range of applications including: human-computer interaction, ambient assisted living, intelligent driving and video surveillance.
Sameh Neili Boualia +1 more
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A discriminative representation for human action recognition
Pattern Recognition, 2016Action recognition has been standing as an active research topic over the past years. Many efforts have been made and many methods have been proposed. However, there are still some challenges such as illumination condition, viewpoint, camera motion and cluttered background.
Yuan, Yuan +3 more
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Feature covariance for human action recognition
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016In this paper, we present a novel method for human action recognition using covariance features. Computationally efficient action features are extracted from the skeleton of the subject performing the action. They aim to capture relative positions of the joints and motion over time.
Alexandre Perez +3 more
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Oriented gradients for human action recognition
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010In this study, we present a simple and effective approach to human action recognition in real time video. We use oriented gradients to represent human contour and recognize human action. First, we detect the human area and obtain human contour information.
Yuan Shen 0004, Zhenjiang Miao
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