Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN

Understand

Edge computing efficiently extends the realm of information technology beyond the boundary defined by cloud computing paradigm.

• Performing computation near the source and destination, edge computing is promising to address the challenges in many delay-sensitive applications, like real-time human surveillance.
• Leveraging the ubiquitously connected cameras and smart mobile devices, it enables video analytics at the edge.
• In recent years, many smart video surveillance approaches are proposed for object detection and tracking by using Artificial Intelligence (AI) and Machine Learning (ML) algorithms.