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Detection of abandoned objects using robust subspace recovery with intrinsic video alignment

Thomaz, L. A. ; Silva, A. F. ; Netto, S. L. ; Silva, E. ; Krim, H.

Detection of abandoned objects using robust subspace recovery with intrinsic video alignment, Proc IEEE International Symposium on Circuits and Systems ISCAS, Baltimore, United States, Vol. , pp. - , May, 2017.

Digital Object Identifier: 10.1109/ISCAS.2017.8050385

Abstract
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.