6,661,918 6,674,877 6,678.413 6,856,249 6,940,998 7,076,102 7,136,525 7,158,680
7,200,266 7,227,893 7,251,637 7,436,887 7,825,954 7,864,980 7,868,912 2003/0107650 …

Techniques are disclosed for creating a background model of a scene using both a pixel
based approach and a context based approach. The combined approach provides an …

A machine-learning engine is disclosed that is configured to recognize and learn behaviors,
as well as to identify and distinguish between normal and abnormal behavior within a scene …

Techniques are disclosed for a computer vision engine to update both a background model
and thresholds used to clas Sify pixels as depicting scene foreground or background in …

52) US C 382/103 be configured to classify an object being one of two or more (52) ir grgrrr.
classification types, eg, as being a vehicle or a person. Once (58) Field of Classification …

Human behavior is determined by sequential event detection by constructing a temporal-
event graph with vertices representing adjacent first and second primitive images of a …

Embodiments of the invention provide techniques for ana lyzing a sequence of video frames.
More specifically, embodiments of the invention provide a video surveillance system …

(57) ABSTRACT A behavioral recognition system may include both a com puter vision
engine and a machine learning engine configured to observe and learn patterns of behavior …

Video analytics data is audited through review of selective visual essence subsets of visual
images from a visual image stream as a function of a temporal relationship of the essence …

100 the normalcy of a scene by observing the scene over a speci fied period of time. Once
the observations of the scene have matured, the actions of agents in the scene may be …