A Systematic Review of Video Analytics Using Machine Learning and Deep Learning—A Survey

AbstractIn recent years, video surveillance systems evolve a great interest as the application area. Recent studies have proven integration of digital image processing, computer vision, artificial intelligence and data analytics into video surveillance application. This paper provides a systematic review of the state-of-the-art video analysis techniques available in machine learning and deep learning. Video processing research trends illustrate a survey on practices like object detection, object recognition, object tracking, traffic control and monitoring, action and behaviour recognition, disaster management and so on. We further present focus on computational approaches for various challenges of video processing techniques, objectives of those techniques and evaluation based on multiple problems. In the end, we have discussed emerging issues in the field of video analytics and how machine learning and deep learning contribute to those issues.KeywordsVideo analysisObject detectionObject tracking and object classificationMachine learning and deep learning