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) |