Spatio-Temporal Motion Detection for Intelligent Surveillance Applications
Maryam Nabil Al-Berry, Mohammed A.‐M. Salem, Ashraf Saad Hussein, Mohamed F. Tolba · International Journal of Computational Methods · 2014
Intelligent surveillance aims at conceiving reliable and efficient systems that are able to detect and track moving objects in complicated real world scenes. This paper proposes an innovative 3D stationary wavelet-based motion detection technique that fuses spatial and temporal analysis in a single 3D transform. This single transform is composed of applying a 2D transform in the spatial domain followed by 1D transform in the time domain. The results of the proposed technique are compared favorably with those of the recently used stationary wavelet-based technique. In addition of being accurate and has reasonable complexity of O(N2 log N), the proposed technique is robust to real world scene variations, including nonuniform and time-varying illumination.