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Action recognition in videos using frequency analysis of critical point trajectories

Cyrille Beaudry, Renaud Peteri, Laurent Mascarilla
2014 2014 IEEE International Conference on Image Processing (ICIP)  
Index Terms-Action recognition in videos, critical points, frequency analysis of motion trajectories.  ...  This paper focuses on human action recognition in video sequences. A method based on the optical flow estimation is presented, where critical points of the flow field are extracted.  ...  Extraction and characterization of multi-scale trajectories In order to analyse typical movements in videos, trajectories are estimated from critical points using the dense trajectory approach [9] .  ... 
doi:10.1109/icip.2014.7025289 dblp:conf/icip/BeaudryPM14 fatcat:2lmenanrvnhprdsfeqzcwnhgi4

Robust features for facial action recognition [article]

Nadav Israel, Lior Wolf, Ran Barzilay, Gal Shoval
2017 arXiv   pre-print
In this paper, we present an automated system that recognizes facial gestures by capturing local changes and encoding the motion into a histogram of frequencies.  ...  The results show that, compared to known methods, the new encoding methods significantly improve the recognition accuracy and the robustness of analysis for a variety of applications.  ...  For this purpose, both narrowing the number of facial actions of interest and paying attention to the video context may be critical to the success of an automated system.  ... 
arXiv:1702.01426v2 fatcat:slqsnysu2bbvjk3izkwp5avafi

Human Action Recognition Using Improved Salient Dense Trajectories

Qingwu Li, Haisu Cheng, Yan Zhou, Guanying Huo
2016 Computational Intelligence and Neuroscience  
Human action recognition in videos is a topic of active research in computer vision. Dense trajectory (DT) features were shown to be efficient for representing videos in state-of-the-art approaches.  ...  tracking interest points in each spatial scale separately and then refining the dense trajectories via the analysis of the motion saliency.  ...  Acknowledgments This work was supported by the Nation Nature Science Foundation of China (no. 41306089), the Science and Technology Program of Jiangsu Province (no.  ... 
doi:10.1155/2016/6750459 pmid:27293425 pmcid:PMC4886085 fatcat:g67kevkmkvdzxngamtivdregae

What makes a gesture a gesture? Neural signatures involved in gesture recognition [article]

Maria Cabrera, Keisha Novak, Daniel Foti, Richard Voyles, Juan Wachs
2017 arXiv   pre-print
Previous work in the area of gesture production, has made the assumption that machines can replicate "human-like" gestures by connecting a bounded set of salient points in the motion trajectory.  ...  operate as placeholders in gesture recognition.  ...  points in motion trajectory with the neural signatures of gestures using EEG.  ... 
arXiv:1701.05921v1 fatcat:wx26cfl3ajfiniw6lf2ltj54x4

AVSS 2011 demo session: A systems level approach to perimeter protection

Peter Tu, Ting Yu, Dashan Gao, Ram Nevatia, Sung Chun Lee, Hale Kim, Phill Kyu Rhee, Joong-Hwan Baek
2011 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
In our approach, a sparse point representation of a human action is provided using a set of spatiotemporal interest points detected from a spatiotemporal volume that is extracted from the tracked individual  ...  Articulated Action Analysis Given the trajectory of a tracked individual, the purpose of this module is to determine whether or not a given articulated action such as digging or climbing is currently being  ... 
doi:10.1109/avss.2011.6027396 dblp:conf/avss/TuYGNLKRB11 fatcat:sj2u43mfcff65lpevkfyumyz3y

Wavelet-based holistic sequence descriptor for generating video summaries

A. Graves, S. Gong
2004 Procedings of the British Machine Vision Conference 2004  
Such a representation is critical for action based genres such as surveillance. We show that an analysis of the trajectory shape is able to produce a temporal segmentation.  ...  We propose a video representation, the Video Scene Trajectory, computed from localised temporal-change in order to capture the holistic action content in a sequence.  ...  We monitor holistic action in the video over long periods and hence perform topic spotting in video (without knowledge of the topics).  ... 
doi:10.5244/c.18.19 dblp:conf/bmvc/GravesG04 fatcat:kumkp5r4rbgshhyc22mq6xzhrq

Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements [chapter]

Eleonora Vig, Michael Dorr, David Cox
2012 Lecture Notes in Computer Science  
Algorithms using "bag of features"-style video representations currently achieve state-of-the-art performance on action recognition tasks, such as the challenging Hollywood2 benchmark [1, 2, 3] .  ...  This approach is evaluated with three state-of-the-art action recognition algorithms [1,2,3], and using several saliency algorithms.  ...  EV was supported by a fellowship in the Postdoc-Programme of the German Academic Exchange Service (DAAD, D/11/41189). MD was supported by the NIH (EY018664 and EY019281).  ... 
doi:10.1007/978-3-642-33786-4_7 fatcat:cjvyu5q7o5byno56vikrdb77ta

Video-Based Human Behavior Understanding: A Survey

Paulo Vinicius Koerich Borges, Nicola Conci, Andrea Cavallaro
2013 IEEE transactions on circuits and systems for video technology (Print)  
The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects of video-based human behavior understanding, available datasets for experimentation  ...  Given the broad set of techniques used in videobased behavior understanding and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguously key  ...  videos Y Hand posture recognition, including deictic and symbolic gestures [148] FGNet 8 videos, each with user pointing in 8 directions Y Includes a video set for pointing on a whiteboard in a  ... 
doi:10.1109/tcsvt.2013.2270402 fatcat:ilpqptjrhfacjasyyw6wfug7ia

Detection Algorithm of Tennis Serve Mistakes Based on Feature Point Trajectory

Hongxin Tang, Wei Fang
2022 Advances in Meteorology  
To address the issue of high recognition error in conventional action error detection methods, this article proposes a game of tennis serve error action detection algorithm based on feature point trajectory  ...  Additionally, a visual feature acquisition system for tennis serving action is being developed using remote video monitoring in order to correct the path of the serving image during play.  ...  τ| represents the frequency of the action and h(j) is the feature set. e multimodal high-frequency components and low-frequency components of the video capture pictures of tennis serve actions are acquired  ... 
doi:10.1155/2022/6584827 fatcat:i6w3p6l7rffcxpp7sgpewvusxu

Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition [article]

Zhenzhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj
2015 arXiv   pre-print
Most state-of-the-art action feature extractors involve differential operators, which act as highpass filters and tend to attenuate low frequency action information.  ...  Experimental results show significantly improved performance on challenging action recognition and event detection tasks.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of ARO.  ... 
arXiv:1411.6660v4 fatcat:evlkbbeu4rhn5csxtmxt7pywuq

Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition

Zhenzhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Most state-of-the-art action feature extractors involve differential operators, which act as highpass filters and tend to attenuate low frequency action information.  ...  Experimental results show significantly improved performance on challenging action recognition and event detection tasks.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of ARO.  ... 
doi:10.1109/cvpr.2015.7298616 dblp:conf/cvpr/LanLLHR15 fatcat:cqlrmyh775g3leov32a7sin4k4

Saliency-based selection of sparse descriptors for action recognition

Eleonora Vig, Michael Dorr, David D. Cox
2012 2012 19th IEEE International Conference on Image Processing  
Local spatiotemporal descriptors are being successfully used as a powerful video representation for action recognition.  ...  Particularly competitive recognition performance is achieved when these descriptors are densely sampled on a regular grid; in contrast to existing approaches that are based on features at interest points  ...  INTRODUCTION In recent years, "Bag of Features" (BoF) approaches to representing videos have been applied with increasing success to the problem of human action recognition in video sequences.  ... 
doi:10.1109/icip.2012.6467132 dblp:conf/icip/VigDC12 fatcat:ujurwwo63zdznhlbwwe3g4mcli

Exploiting textures for better action recognition in low-quality videos

Saimunur Rahman, John See, Chiung Ching Ho
2017 EURASIP Journal on Image and Video Processing  
Human action recognition is an increasingly matured field of study in the recent years, owing to its widespread use in various applications.  ...  In this paper, we address the problem of action recognition in low-quality videos from a myriad of perspectives: spatial and temporal downsampling, video compression, and the presence of motion blurring  ...  They also wish to thank the anonymous reviewers for their comments and suggestions which helped in enhancing the quality of the paper.  ... 
doi:10.1186/s13640-017-0221-2 fatcat:cao4dr7yxnciliw2swjrq6gsmi

Injury Mechanism Classification in Soccer Videos

O. V. Ramana Murthy, Roland Goecke
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
Soccer is a very popular sport but also has a high rate of injuries. In this paper, player falling events in soccer videos are classified into five major categories.  ...  A Bag-of-Words framework is used and a baseline classification accuracy is established that will serve as a reference point for further work.  ...  Low-level Features for Action Recognition Human action recognition by low-level features, such as spatio-temporal interest points (STIP) [9] , improved dense trajectories [20] from real-world videos  ... 
doi:10.1109/iccvw.2015.105 dblp:conf/iccvw/MurthyG15 fatcat:vs52dvwifbecdgm2maco274p3a

A Survey of the Techniques for The Identification and Classification of Human Actions from Visual Data

Shahela Saif, Samabia Tehseen, Sumaira Kausar
2018 Sensors  
Recognition of human actions form videos has been an active area of research because it has applications in various domains.  ...  Any advancements in this field are tied to advances in the interrelated fields of object recognition, spatio- temporal video analysis and semantic segmentation.  ...  However, the problem of action recognition through videos is far more complicated than image analysis.  ... 
doi:10.3390/s18113979 fatcat:cbag7fm5gnetffzdl26se5r2ge
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