Autonomous and Adaptive Learning of Shadows for Surveillance

摘要

Object detection is a critical step in automating the monitoring and surveillance tasks. To maximize its reliability, robust algorithms are needed to separate real objects from moving shadows. In this paper we propose a framework for detecting moving shad