Anomaly Detection using Edge Computing in Video Surveillance System: Review

Abstract

The current concept of Smart Cities influences urban planners and researchers to provide modern, secured and sustainable infrastructure and give a decent quality of life to its residents. To fulfill this need video surveillance cameras have been deployed to enhance the safety and well-being of the citizens. Despite technical developments in modern science, abnormal event detection in surveillance video systems is challenging and requires exhaustive human efforts. In this paper, we surveyed various methodologies developed to detect anomalies in intelligent video surveillance. Firstly, we revisit the surveys on anomaly detection in the last decade. We then present a systematic categorization of methodologies developed for ease of understanding. Considering the notion of anomaly depends on context, we identify different objects-of-interest and publicly available datasets in anomaly detection. Since anomaly detection is considered a time-critical application of computer vision, our emphasis is on anomaly detection using edge devices and approaches explicitly designed for them. Further, we discuss the challenges and opportunities involved in anomaly detection at the edge.

A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths

“…Group 7 is the overall overview of the work. Overview & Prospects [46] Architecture [6] Resource Management [8] 5G and Beyond [28] Network Slicing [1] Scalability [3] Resource Management [9] computation offloading [12] Deep Learning [23] Game Theory [27] Smart Grid [36] Architecture [7] computation offloading [13] Resource Provisioning [17] Machine Learning [19][20] Blockchain [31] Smart City [35] Industrial Internet [37] LOV [41] Platforms and Tools [44] Security and Privacy [5] Resource Management [10] computation offloading [14] Machine Learning [21] Deep Learning [24] 5G and Beyond [29] Blockchain [32][33] COVID-19 [38] UAV [40] IOV [42] Network Slicing [2] Scalability [4] computation offloading [15][16] Resource Provisioning [18] Machine Learning [22] Deep Learning [25] Auction Method [26] 5G and Beyond [30] Blockchain [34] COVID-19 [39] Video Surveillance [43] Platforms and Tools…”

“…Edge computing has spawned a large number of applications in various fields. The existing surveys on edge computingbased applications cover research areas such as smart cities [35], smart grids [36], Industrial Internet [37], Corona Virus Disease 2019 (COVID-19) [38], Unmanned Aerial Vehicles(UAV) [40], Internet of Vehicles [41], video surveillance [43], etc. The existing surveys are as follows.…”

“…Liu et al [42] provided a comprehensive overview of the introduction, architecture, challenges, application scenarios and other aspects of VEC. Patrikar et al [43] studied various methods and designs of anomaly detection in intelligent video surveillance. Besides, there are few studies on anomaly detection using edge computing, which needs attention.…”