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OPTICAL FLOW BASED LEARNING APPROACH FOR ABNORMAL CROWD ACTIVITY DETECTION WITH MOTION DESCRIPTOR MAP
2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K)
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10.23919/itu-wt.2018.8597814
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2018
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Author(s):
Dhananjay Kumar
◽
Govinda Raj Sampath Sarala
Keyword(s):
Optical Flow
◽
Learning Approach
◽
Activity Detection
◽
Motion Descriptor
Download Full-text
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10.1049/iet-ipr.2009.0042
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2010
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pp. 463
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A.J. Aubrey
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Y.A. Hicks
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Optical Flow
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Abnormal Activity Detection in Edge Computing: A Transfer Learning Approach
2020 International Conference on Computing, Networking and Communications (ICNC)
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10.1109/icnc47757.2020.9049794
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2020
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Author(s):
Yiyun Zhou
◽
Meng Han
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Jing He
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Liyuan Liu
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Xiaohua Xu
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...
Keyword(s):
Transfer Learning
◽
Edge Computing
◽
Learning Approach
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Activity Detection
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Abnormal Activity Detection
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A Motion Descriptor Based on Statistics of Optical Flow Orientations for Action Classification in Video-Surveillance
Multimedia and Signal Processing - Communications in Computer and Information Science
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10.1007/978-3-642-35286-7_34
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2012
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pp. 267-274
◽
Cited By ~ 5
Author(s):
Fabio Martínez
◽
Antoine Manzanera
◽
Eduardo Romero
Keyword(s):
Optical Flow
◽
Video Surveillance
◽
Action Classification
◽
Motion Descriptor
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See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion
10.1007/978-3-030-87156-7_4
◽
2021
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pp. 41-51
Author(s):
Danu Caus
◽
Guillaume Carbajal
◽
Timo Gerkmann
◽
Simone Frintrop
Keyword(s):
Optical Flow
◽
Voice Activity Detection
◽
Activity Detection
◽
Voice Activity
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A tensor motion descriptor based on histograms of gradients and optical flow
Pattern Recognition Letters
◽
10.1016/j.patrec.2013.08.008
◽
2014
◽
Vol 39
◽
pp. 85-91
◽
Cited By ~ 8
Author(s):
V.F. Mota
◽
E.A. Perez
◽
L.M. Maciel
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M.B. Vieira
◽
P.H. Gosselin
Keyword(s):
Optical Flow
◽
Motion Descriptor
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A Deep Learning Approach for Motion Segmentation Using An Optical Flow Technique
2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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10.1109/icccnt45670.2019.8944422
◽
2019
◽
Author(s):
Pooja Ghaywate
◽
Falguni Vyas
◽
Sneha Telang
◽
Supriya Mangale
Keyword(s):
Deep Learning
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Optical Flow
◽
Motion Segmentation
◽
Learning Approach
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Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow
Communications in Computer and Information Science - Intelligent Technologies and Applications
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10.1007/978-3-030-71711-7_14
◽
2021
◽
pp. 163-175
Author(s):
Yen-Ting Lee
◽
Thitinun Pengying
◽
Sule Yildirim Yayilgan
◽
Ogerta Elezaj
Keyword(s):
Machine Learning
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Optical Flow
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Action Recognition
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Human Action Recognition
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Human Action
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Data Driven
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Learning Approach
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Deep Learning Approach for Suspicious Activity Detection from Surveillance Video
2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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10.1109/icimia48430.2020.9074920
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2020
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Author(s):
C.V Amrutha
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C. Jyotsna
◽
J. Amudha
Keyword(s):
Deep Learning
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Learning Approach
◽
Activity Detection
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Surveillance Video
◽
Suspicious Activity
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Using a blended learning approach to support problem-based-learning for teaching computing and programming with second year students - A case study based on C-programming
PsycEXTRA Dataset
◽
10.1037/e605292012-022
◽
2011
◽
Author(s):
Janani Thevananth
Keyword(s):
Blended Learning
◽
Problem Based Learning
◽
Learning Approach
◽
C Programming
◽
Second Year
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Mental Models "Midst the Optical Flow
PsycEXTRA Dataset
◽
10.1037/e665412011-336
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1992
◽
Author(s):
Jeremy M. A. Beer
Keyword(s):
Optical Flow
◽
Mental Models
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