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2020 ITU Kaleidoscope Academic Conference

[4] M. Sharif et. al., “A Framework of Human Detection [11] L. –Q. Xu and Y. Li, "Video classification using
and Action Recognition based on Uniform spatial-temporal features and PCA," International
Segmentation and Combination of Euclidean Conference on Multimedia and Expo. (ICME ‘03),
Distance and Joint Entropy Features Selection” 2003.
EURASIP Journal on Image and Video Processing,
Article number: 89, 2017. [12] X. Zhou and Q. Huang, and X. Sun, and X. Xue, and
Y. Wei, “Towards 3D Human Pose Estimation in the
[5] M. Ravanbaksh and H. Mousavi “Action Recognition Wild: A Weakly-Supervised Approach,” IEEE
with Image Based CNN Features” arXiv: International Conference on Computer Vision
1512.03980, Dec. 2015. (ICCV), Oct. 2017

[6] J. Cai and M. Merler “Heterogeneous Semantic Level [13] M. D. Bengalur, "Human activity recognition using
Features Fusion for Action Recognition” 2014. body pose features and support vector machine,"
International Conference on Advances in Computing,
[7] Recommendation ITU-T H.626.5 - “Architecture for Communications and Informatics (ICACCI), Mysore,
intelligent visual surveillance systems,” May 2019. 2013.

[8] Recommendation ITU-T F.743 - “Requirements and [14] MSR Action Data Set
service description for video surveillance https://www.microsoft.com/en-
Recommendation,” November 2019. us/download/details.aspx?id=52315

[9] A. Newell, K. Yang, J. Deng, “Stacked Hourglass [15] NTU RGB+D Dataset
Networks for Human Pose Estimation”, Computer http://rose1.ntu.edu.sg/datasets/actionrecognition.asp
Vision – ECCV 2016, Lecture Notes in Computer
Science, Vol. 9912, 2016. [16] MPII Human Pose Dataset http://human-pose.mpi-
inf.mpg.de/
[10] M. Aslan, A. Sengur, Y. Xiao, H. Wang, M. Cevdet
Ince, and X. Ma, “Shape feature encoding via Fisher
Vector for efficient fall detection in depth-videos,”
Applied Soft Computing, Vol. 37, 2015.

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