… The table below includes most recently published surveillance video analysis papers
under deep learning field. Table 4 lists the details of published papers in the area. …

… of anomaly detection in surveillance videos is addressed, … an approach that utilizes a Deep
Neural Network (DNN) to model … are then compared with testing video for similarity, and the …

… the concept of deep learning is used. The combination of computer vision and video
surveillance will ensure public safety and security. Computer vision methods involves the following …

… of surveillance videos on construction sites and this study offers a new and robust deep
learning method in … by the requirement for a standing and camera-facing posture, which is not …

… This paper reviews deep learning-based methods for video anomaly detection, which cover
a variety of approaches, techniques, datasets, and evaluation metrics. A thorough overview …

… tested the model on our real-world surveillance video dataset, the accuracy dropped to 83.6%,
… propose a method for face recognition in real-world surveillance videos by deep learning. …

… paper, a deep learning approach to automatically process images captured by surveillance
cameras is … We have chosen to use deep-learning methods for both object detection and face …

… a new method based on deep learning techniques for anomaly detection in video surveillance
… This paper introduces an anomaly detection method based on deep learning techniques. …

… has persuaded researchers to employ various deep architectures to … deep learning technique
to recognize different crowd behaviors happening in the scene captured by a video camera…

… published in surveillance anomaly detection, because of the unavailability of the datasets;
the limitation of the computational power, and the disability of the deep learning techniques. …