Video analytics for visual surveillance and applications: An overview and survey

Published in Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems, 2019

This chapter surveys video analytics for modern surveillance and adjacent domains including transportation, retail, healthcare, and service systems. It reviews behavior analysis, summarization, detection, tracking, abnormality detection, and multimodal information fusion.

Recommended citation: Iyiola E. Olatunji and Chun-Hung Cheng. (2019). "Video analytics for visual surveillance and applications: An overview and survey." Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems.
Download Paper