The privacy challenges of in-depth video analytics

Abstract

The increasing need for both automated and privacy-respecting CCTV systems adds many challenges to the tasks of Video Analytics. The growing capabilities of automated surveillance systems lead to the automatic extraction and processing of complex and potentially personal data related to individuals who may not even be aware of it. This paper discusses the issues related to the processing of potentially sensitive information extracted from various computer vision algorithms and techniques such as person tracking, soft biometrics, behaviour analysis or multi-modal person identification, and delivers insights regarding technical solutions and guidelines for achieving a higher level of privacy compliance.

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

“…Much of the research efforts in this field focuses on automatic tracking of objects and persons in motion [2,9]. However, video analytics systems process potentially sensitive information when using person tracking, behavior analysis or person identification [11]. …”