… a deep rooted survey which starts from object recognition, action recognition, crowd analysis
and finally violence detection in a crowd … are based on deep learning technique. Various …

… deep learning and CNN advances, we propose a VGG16 architecture model based on deep
learning … facial images generated using a crowd detection model based on object tracking …

… We perform a comprehensive review of the works that employ Deep Learning to solve
the task of crowd anomaly detection, organising them according to the new taxonomy. …

… Instead of using hand-crafted features, we first learn a deep model of crowd … deep learning
architecture to detect anomalous behavior in an unsupervised manner. Our deep learning …

… However, a multi-objective learning approach to crowd analysis has yet to be fully … deep
learning framework for simultaneous crowd counting, violent behaviour recognition and crowd …

… This section presents the abnormal crowd detection algorithms applicable for automated …
handcrafted extracted features, classification based on deep learning, and hybrid methods. …

… behavior analysis it can also be used for false media detection [66], detection of automobile
accidents automatically [67], classification of scene for unmanned aerial vehicles [68] etc. …

… Crowd counting based on object detection mechanism Earlier approaches for crowd counting
have used Detection … with the deep learning details for the crowd-counting algorithm. …

… a deep learning model which detects violent crowd flows. A … not need any human intervention
to detect violent crowd flows. … (ii) It builds a deep learning model to detect violence on …

… Aiming at the problems of crowd distribution, scale feature, and crowd feature extraction … a
crowd density estimation method using deep learning for passenger flow detection systems in …