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Automatic Detection of Riots Using Deep LearningEasyChair Preprint 1976, version history| Version | Date | Pages | Version notes | 
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 | 1 | November 18, 2019  | 12 |  |  | 2 | December 25, 2019  | 12 | Updates:  - Added one more author;
 - Dataset links removed;
 - Improved experimental results;
 - Paper accepted for conference @ rtip2r
 
  |  | 3 | February 17, 2021  | 11 | Added contribution of new Author  |  
 Keyphrases: Artificial Intelligence, Batch Normalization, CNN RNN LSTM, Collective activity recognition, Convolutional Neural Network, Gaussian optical_flow Model, Long Short-Term-storage, Motion SIFT, Non-violence, Optical_flow Orientation Histogram, Oriented Violent Flows, Random Forest, Recurrent_Neural_Network, Riots Detection, Space-Time Interest Points, Spacetime volume, Support_Vector_Machine, activity recognition, bag of visual word, computer vision, deep learning, group activity recognition, high-level, improvised Dense Trajectories, k-nearest neighbors, machine learning, neural network, neural networks, surveillance camera, surveillance video  |  
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