Sensormatic Electronics Corporation

Matthew A Gruenke

Ian Christopher Westmacott

Mirko Ristivojevic

Changchun Li

Rajkiran Kumar Gottumukkal

Christopher J Buehler

Neil Brock

A system and method for identification and suppression of time varying background objects is disclosed. A proposed surveillance security system includes an image analytics system and at least one surveillance camera. The image analytics system identifies objects within image data of a scene captured by the surveillance camera, and then analyzes the objects to determine whether each object is a foreground object or a dynamic background object. In examples, the image analytics system determines whether an object is a foreground object or a dynamic background object based upon movement and/or an appearance of the object. The surveillance security system does not send alerts to users of the system for objects determined to be dynamic background objects. When users request objects of interest, the dynamic background objects are also excluded from lists of objects sent in reply messages to the users.

System and method for identification and suppression of time varying background objects

A method and system for analyzing video data in a security system. An analysis compares a current frame to a background model. The analysis system compares the background model to the current frame to identify changed pixel patches. The analysis system uses morphological image processing to generate masks based on the changed pixel patches. Next, the analysis system applies the masks to the background model and the current frames to determine whether the changed pixel patches are characteristic of abandoned or removed objects within the video data.

Method and system to characterize video background changes as abandoned or removed objects

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Waltham, MA, United States of America

Matthew A Gruenke