Detection of abandoned objects using robust subspace recovery with intrinsic video alignment
Lucas A. Thomaz, Allan F. da Silva, Eduardo A. B. da Silva, Sergio Lima Netto, Hamid Krim · 2017
The detection of abandoned objects in videos from moving cameras is of great importance to automatic surveillance systems that monitor large and visually complex areas. This paper proposes a new method based on sparse decompositions to identify video anomalies associated with abandoned objects. The proposed scheme inherently incorporates synchronization between the reference (anomaly-free) and target (under analysis) sequences thus reducing the implementation complexity of the overall surveillance system. Results indicate that the proposed video-processing scheme can lead to 95% complexity reduction while maintaining excellent detection capability of foreground objects.