TY - JOUR AU - Pless, Robert PY - 2005 DA - 2005/08/25 TI - Spatio-temporal Background Models for Outdoor Surveillance JO - EURASIP Journal on Advances in Signal Processing SP - 101240 VL - 2005 IS - 14 AB - Video surveillance in outdoor areas is hampered by consistent background motion which defeats systems that use motion to identify intruders. While algorithms exist for masking out regions with motion, a better approach is to develop a statistical model of the typical dynamic video appearance. This allows the detection of potential intruders even in front of trees and grass waving in the wind, waves across a lake, or cars moving past. In this paper we present a general framework for the identification of anomalies in video, and a comparison of statistical models that characterize the local video dynamics at each pixel neighborhood. A real-time implementation of these algorithms runs on an 800 MHz laptop, and we present qualitative results in many application domains. SN - 1687-6180 UR - https://doi.org/10.1155/ASP.2005.2281 DO - 10.1155/ASP.2005.2281 ID - Pless2005 ER -