PATENTS 

The patents referenced below are the foundation of Cernium's technology as laid by Maurice Garoutte and  are the Intellectual Property of Cernium, Corp.  More iformation about the patents is available from the Patent and Tradmark office USPTO.

Other intellectual property as invented by Maurice is in the process of patent application and will be added here as it is posted by the USPTO.

Basic ExitSentry Patent

Patent number 6,154,133

Abstract

An exit guard system automatically detects movement of a subject along an exit path in an unauthorized direction. A first video camera is positioned for video imaging movement of a subject along the path, while a second video camera images the subject for identification. Multiple video motion detectors operate in conjunction with the first video camera to determine direction of movement of a subject along the path. A CPU operates with the video motion detectors under an exit guard program to provide a watching mode, during which frames of the second video camera are continuously grabbed and saved. Audible and/or visual alarm signaling devices are operated by the CPU in an alarm mode in response to traffic of a subject in the unauthorized direction. A video monitor displays modes of operation of the system, and control devices allow operator selection and control of modes of operation of the system. Remote access to the system for control, monitoring or other purposes is provided by data modem feature. Method of using such system for guarding movement of a subject along the path is disclosed.

Basic Perceptrak Patent

Patent Number 6,940,998

Abstract

The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic. The system is compatible with existing CCTV (closed circuit television) systems and is comprised of modular elements to facilitate integration and upgrades.

Object Selective Recording (OSR) Patent

Application Number 20060165386

Abstract

Object selective video analysis and recordation system in which video camera output is recorded media with reduction of the amount of the recording media, with preservation of intelligence content of images of objects appearing against a background scene. Preset knowledge of symbolic categories of scene objects and analysis of object attributes is provided. Spatial resolution and temporal resolution of objects are automatically varied per preset criteria based on predetermined interest in object attributes while recording both background and object video. A system user can query recorded images by content to recall data according to specified symbolic content. So-called intelligent pruning allows changes in criteria for data storage or archiving to "prune" (cull or remove data) based upon such changes in criteria. Under software control, the system carries out pruning "after-the-fact," i.e., after data has previously been identified by the system as significant enough for storage or archive.

Patent for the Perceptrak system (not engine related)

Application Number 20050259848

Abstract

The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic. The system is compatible with existing CCTV (closed circuit television) systems and is comprised of modular elements to facilitate integration and upgrades.

CheckVideo Patent

Application Number 20050219362

Abstract

Software-implemented system and methodology to objectively quantify criteria that can produce a score indicating the quality of a video or comparable image-producing signal or other image file or sequence of display frames containing electronically reproduced or generated images. Where video is to be analyzed, executing the criteria produces a score indicating the quality of a video signal in a sequence of video frames. Three principle criteria are analyzed and then combined to produce an objective score representing video or image quality, viz., a grayscale histogram, and edge histogram, and a horizontal versus vertical sharpness graph. As each frame, as in a sequence of image frames of a video signal, is made available for analysis or to be shown within a display area, the frame is analyzed by digital processor to produce the grayscale histogram, the edge histogram, and the horizontal versus vertical sharpness graph. The results of these criteria are combined to produce a video quality score indicative of the quality of the frame of video.

Segmentation Threshold by Area Patent

Patent Number 7,218,756

Abstract

Video segmentation wherein scene images of subjects and background are captured by video and are automatically segmented according to subject content, as by system determination of the nature of subjects, but segmentation of the subjects can be compromised by visual noise. Segmentation transformations of an original background and foreground images in the scenes are provided as a terrain map, and the segmentation may also incorporate noise blobs. Automatic segmentation threshold adaptation is based on measuring the segmentation noise while holding the number count of noise blobs constant, whereby to achieve noise-adaptive segmentation gain. Automatic threshold adaptation within multiple areas of the scene results in different possible thresholds in different areas based on the amount of segmentation noise in each area. Segmentation is improved accordingly.

Video ghost detection by outline

Application Number 20060221181

Abstract

Video image ghost detection in a security/surveillance CCTV system for automated image analysis. At least one pass of a video frame produces a terrain map with video content-indicating parameters, by which are analyzed behavior of objects, e.g., people and vehicles, moving in a scene having a background and a foreground, while detecting "ghost" images of objects that were in an adaptive background of the scene but are moving, by measuring a horizontal smoothness and/or vertical smoothness by segmentation procedure by which an object outline is predicted. The examination of segmented background and foreground image portions is conducted by software process to determine existence of such outline as by edge detection or changes in texture. Probability of an image ghost in either the background or foreground, or both, is calculated.

Intelligent video behavior recognition with multiple masks and configurable logic inference module

Application Number 20060222206

Methodology of implementing complex behavior recognition in an intelligent video system includes multiple event detection defining activity in different areas of the scene ("What"), multiple masks defining areas of a scene ("Where"), configurable time parameters ("When"), and a configurable logic inference engine to allow Boolean logic analysis based on any combination of logic-defined events and masks. Events are detected in a video scene that consists of one or more camera views termed a "virtual view". The logic-defined event is a behavioral event connoting behavior, activities, characteristics, attributes, locations and/or patterns of a target subject of interest. A user interface allows a system user to select behavioral events for logic definition by the Boolean equation in accordance with a perceived advantage, need or purpose arising from context of system use.

Terrain map summary elements

Application Number 20060290706

Method and system for image data analysis, by making use of a Terrain Map Summary Element (TMSE) data structure, in which a Terrain Map data structure provides processed primitive data about each 2.times.2 kernel of pixels from an original image. The new TMSE is a hierarchical multiple-level or tiered structure of such Terrain Map elements, in which each successive Terrain Map level summarizes, for example, 16 lower level elements or member. By providing such a hierarchical nature of the map elements, richness is enhanced by each higher element because every element of each successively higher level map summarizes the data from elements of the lower level map. For example, in a five-level Terrain Map Summary Element structure according to the disclosure, each element or member of the fifth level contains information summarizing data about 256K pixels.

Directed attention digital video recordation

Application Number    20070035623

The present invention describes systems and methods of incorporating detailed snapshots of targeted areas of interest into a video or digitized recording of the overall scene including metadata to link the snapshots to the time and location in the overall scene from which the snapshot was acquired. A single fixed high-resolution scene camera or a fixed standard resolution scene camera of analog or IP connected type is used, co-located with at least one pan-tilt-zoom (PTZ) camera or by using the same scene camera in a mode where less than full resolution of the scene camera is used for video but snapshots of areas are captured by the same camera where higher resolution thereof is used for snapshots than for video. The area of interest is selected by the object-tracking feature of an intelligent video system, operated without human intervention, by electronically-implemented identification of the existence of area-specific subjects or targets of interest in the scene image field.