Method and Apparatus for Detecting People by a Surveillance System
First Claim
1. A method for detecting people by a surveillance system, the method comprising:
- identifying a foreground contour shape within a scene and a track of the foreground contour shape from at least two frames in a video file;
determining features of the foreground contour shape within the scene and the track of the foreground contour shape; and
classifying at least a portion of the foreground contour shape using a shape feature and the track of the foreground contour shape to determine whether the foreground contour shape matches a person reference model.
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Accused Products
Abstract
Surveillance systems may be found in both private and public spaces. In private spaces, they can be designed to help provide and monitor secure premises. Similarly, public spaces may also use surveillance systems to determine an allocation of public resources. A camera surveillance system according to an embodiment of the invention uses advanced image processing techniques to determine whether an object moving across a scene is a person. The camera surveillance system achieves an accurate and efficient classification by selectively processing a set of features associated with the object, such as features that define an omega shape. By selectively processing the set of features associated with the object, the methods and systems described herein reduce the computational complexity of standard image processing/object detection techniques.
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Citations
20 Claims
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1. A method for detecting people by a surveillance system, the method comprising:
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identifying a foreground contour shape within a scene and a track of the foreground contour shape from at least two frames in a video file; determining features of the foreground contour shape within the scene and the track of the foreground contour shape; and classifying at least a portion of the foreground contour shape using a shape feature and the track of the foreground contour shape to determine whether the foreground contour shape matches a person reference model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer readable medium, the computer readable medium having program instructions stored thereon, the program instructions being executable by a processor, and, when executed by a processor, cause the processor to:
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identify a foreground contour shape within a scene and a track of the foreground contour shape from at least two frames in a video file; determine features of the foreground contour shape within the scene and the track of the foreground contour shape; and classify at least a portion of the foreground contour shape using a shape feature and the track of the foreground contour shape to determine whether the foreground contour shape matches a person reference model. - View Dependent Claims (12, 13, 14, 15)
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16. A surveillance system, comprising:
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a camera configured to capture image data from a scene; a scene analyzer in communication with the camera and configured to receive image data of the scene, the scene analyzer further configured to; identify a foreground contour shape within a scene and a track of the foreground contour shape from at least two frames in a video file; determine features of the foreground contour shape within the scene and the track of the foreground contour shape; classify at least a portion of the foreground contour shape using a shape feature and the track of the foreground contour shape to determine whether the foreground contour shape matches a person reference model; and a display device configured to present analysis results from the scene analyzer through a user interface. - View Dependent Claims (17, 18, 19, 20)
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Specification