… new crowd analysis method fusing deep learning network and compressive sensing for violent
behavior detection. … Furthermore, a deep neural network is developed for extracting crowd …

… Deep learning-based object detection has outperformed all earlier traditional schemes and
is now widely used for object detection and classification tasks. An efficient deep learning-…

… Currently, deep learning (DL) methods are … about Deep Learning (DL) to analyze and
recognize human behavior of group or crowd (eg pedestrians counting [24], pedestrians detection […

… of modern deep learning-based crowd counting systems. This paper discusses some
classic and deep learning-based crowd counting approaches. We examine detection-based, …

… detection is usually performed either in monolithic detection … This paper surveys deep
learning-based methods for crowd scene … into crowd counting and crowd action recognition. …

… deep-learning-based anomaly detection method at a speed of about 370 fps. The recent
advances in the deep learning … for anomaly detection using deep learning methodology which …

… Existing recent research used deep learning methods for human detection towards crowd
estimation although some of them used SIFT and SURF also to extract results. With CNN …

… in deep learning, acquiring efficient solutions to the problem of crowd anomaly detection …
Recent studies have indicated that deep learning based approaches can be successfully …

… In this section, we propose the crowd layer: a special type of network layer that allows us
to … Although the focus of this paper is on deep learning approaches, for the sake of …

… degrees of crowd densities. We propose an autoencoder architecture for crowd detection
and estimation because it creates compressed representations for the original crowd input …