Verint Systems, Inc.

Verint Americas Inc.

Lenel Systems International, Inc.

Oren Golan

Shmuel Kiro

Shahar Daliyot

Boaz Dudovich

Itshak Horovitz

Gadi Zimerman

Ron Schwartz

Zvi Figov

Ofer Steinmetz

Itzik Horovitz

Elad Falckovitch

Doron Yankovitch

Ofer Waisman

Arie Pikaz

Jeffrey Sanders Raj

Or Sheffet

Amir Sole

Sharon Pikaz, Legal Representative

A video system for video surveillance or video monitoring includes a video source, a video control system, and a video management system. The video management system is configured to receive configuration data and generate maps based on the configuration data, wherein at least one of the maps is associated with the video source. The video management system displays the map associated with the video source and displays a graphical symbol on the map which indicates the location of the video source. The video management system then receives a selection of the video source, receives information associated with the selected video source, and displays the received information.

Systems and methods for managing and displaying video sources

A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Time-in-store estimation using facial recognition

Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides receiving a plurality of tagged trajectories that are tagged with an indicator of which trajectory pairs of the plurality of tagged trajectories are matching trajectory pairs and processing each of the trajectory pairs using each of a plurality of trajectory matching algorithms. The method further provides creating a model for matching trajectories based on the output of each of the plurality of trajectory matching algorithms for each of the pairs. The method further provides receiving a pair of trajectories and processing the pair of trajectories using each of the plurality of the trajectory matching algorithms. The method further provides processing the output of each of the plurality of the trajectory matching algorithms for the pair of trajectories using the model to determine whether the pair of trajectories is matching.

Trajectory matching across disjointed video views

Time-in store estimation using facial recognition

People are counted in a segment of video with a video processing system that is configured with a first set of parameters. This produces a first output. Based on this first output, a second set of parameters is chosen. People are then counted in the segment of video using the second set of parameters. This produces a second output. People are counted with a video played forward. People are counted with a video played backwards. The results of these two counts are reconciled to produce a more accurate people count.

Systems and methods for multi-pass adaptive people counting

A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. A second camera is also employed to automatically create an exit image of a face of an exiting individual that passes a second location, and the exit image is recorded along with the corresponding exit time that the exiting individual passed the exit location. The exit image is then compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

A method for image ghost removal is provided. The method for image ghost removal includes receiving an image and a background model related to the image, and generating a foreground mask based on the image and the background model. The method also includes identifying image ghosts within the foreground mask, and updating the background model to eliminate the image ghosts.

Image ghost removal

Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides identifying a first trajectory associated with an object in video captured of a first region. The method further provides identifying a plurality of alternative views of the object from the video of the first region. The method further provides generating additional views for inclusion in the plurality of alternative views by copying and horizontally flipping at least one view of the plurality of alternative views. The method further provides using the plurality of alternative views of the object, selecting a second trajectory that corresponds to the first trajectory from a plurality of trajectories associated with a plurality of objects in video captured of a second region.

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Or-Yehuda, Israel

Oren Golan