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Table 9 Deep learning methods

From: Intelligent video surveillance: a review through deep learning techniques for crowd analysis

Title Deep learning model Algorithms used
A deep convolutional neural network for video sequence background subtraction [110] CNN SuBSENSE algorithm, Flux Tensor algorithm
Tracking people in RGBD videos using deep learning and motion clues [111] Deep convolutional neural network Probabilistic tracking algorithm.
Deep CNN based binary hash video representations for face retrieval [112] Deep CNN Low-rank discriminative binary hashing, back-propagation (BP) algorithm
DAAL: deep activation-based attribute learning for action recognition in depth videos [113] 1D temporal CNN, 2D spatial CNN, 3D volumetric CNN Deep activation-based attribute learning algorithm (DAAL)