Table 10 Crowd analysis methods
From: Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Title | Method | Tool | Data set |
|---|---|---|---|
Measurement of congestion and intrinsic risk in pedestrian crowds [116] | Use computational mesh | Not mentioned | Not mentioned |
A classification method based on streak flow for abnormal crowd behaviors [117] | Streak flow based on fluid mechanics, ViBe algorithm, classification method, | Streakline | ViF |
An intelligent decision computing paradigm for crowd monitoring in the smart city [118] | Extended Kalman filtering approach, Agent motion-based learning model, SIFT feature descriptor, EM algorithm | Not mentioned | The dataset is prepared with surveillance cameras using 60 mm × 120 mm lens from Puri rath yatra festival |
Learning deep event models for crowd anomaly detection [119] | Deep neural network, PCANet, deep GMM | Not mentioned | UCSD Ped1 Dataset, Avenue Dataset |