Surveillance video camera enhancement system

• US 20020054211A1
• Filed: 11/05/2001
• Published: 05/09/2002
• Est. Priority Date: 11/06/2000
• Status: Abandoned Application

• Current Assignee: Dynapel Systems, Inc.
• Original Assignee: Dynapel Systems, Inc.
• Inventors: Diepold, Klaus, Edelson, Steven D.
• Application Number:
  US09/985,544
• Publication Number:
  US 20020054211A1
• Time in Patent Office: Days
• US Class Current: 348/169
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/269 using gradient-based methods
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source
• CPC Class Codes: H04N 7/185 from a mobile camera, e.g. for remote control

Abstract

In a video camera surveillance system, a video processor determines dense motion vector fields between adjacent frames of the video. From the dense motion vector fields moving objects are detected and objects undergoing unexpected motion are highlighted in the display fo the video. To distinguish expected motion from unexpected motion, dense motion vector fields are stored representing expected motion and the vectors representing the moving object are compared with the stored vectors to determine whether the object motion is expected or unexpected. In an alternative embodiment, the video surveillance system comprises a panning camera and the frames of the video are arranged in a mosaic. Object motion in the video is detected by means of dense motion vector fields and the predicted position of objects in the mosaic is detected based on the detected object motion. The position of moving objects in the current frame being detected by the panning camera is compared with the predicted position of the objets in the mosaic and if the positions are substantially different, the corresponding object is tagged and highlighted as undergoing unexpected motion. A system is also disclosed for using the dense motion vector fields to control the motion of the panning camera to follow a moving object.

Claims

1. A surveillance method comprising detecting a scene to be surveilled with a video camera, processing the resulting video to detect moving objects in the detected scene, distinguishing objects undergoing unexpected motion from objects undergoing expected motion and highlighting the objects undergoing expected motion.

2. A surveillance method as recited in claims 1 further comprising storing representations of motion expected in the detected scene and comparing the motion of moving objects in the detected scene with the stored representations of expected motion to distinguish unexpected motion from expected motion.

3. A method as recited in claim 1 further comprising:

predicting the future positions of the detected moving objects;

comparing the actual positions of the moving objects with the predicted positions; and

identifying an object as undergoing unexpected motion when the positions of such object is substantially different than the predicted position for such object.

4. A method as recited in claim 1 wherein the objects undergoing unexpected motion are highlighted by magnifying the object and the area around the object identified as undergoing unexpected motion.

5. A surveillance method comprising detecting a scene to be surveilled with a video camera, detecting dense motion vector fields representing the motion of image elements from frame to frame in the video produced by said video camera, identifying moving objects depicted in said video by means of said dense motion vector fields and displaying said video with the identified moving objects highlighted in the display of said video.

6. A method as recited in claim 5 wherein a detected moving object is highlighted by magnifying the display of the moving object and the area around the moving object.

7. A surveillance method comprised of panning a video camera to detect a scene, combining the frames of the resulting video into a mosaic representing a panoramic view of said scene, detecting the motion of moving objects in said scene, determining the predicted position of objects in said scene determined from the detected motion of said objects, and updating the position of said moving objects in accordance with the predicted motion of said moving objects in said mosaic.

8. A surveillance method as recited in claim 7 further comprising comparing the position of detected moving objects in the current video frame detected by said video camera with the predicted position for said moving objects and flagging said moving objects as having said unexpected motion when the position of said objects in the current frame is substantially different than the predicted position for such objects.

9. A surveillance method as recited in claim 8 further comprising highlighting in said mosaic the objects flagged as having unexpected said motion.

10. A method of making a video of a moving object comprising detecting a scene containing said moving object, with a video camera to produce a video depicting said moving object, generating dense motion vector fields representing the motion of image elements from frame to frame in said video, determining the motion of said moving object from said dense motion vector field, predicting the immediate future position of said moving object from the detected motion of said moving object, and controlling the motion of said video camera in accordance with the predicted immediate future position of said moving object to maintain the moving object centered in the frame currently being detected by said video camera.

11. A surveillance system comprising a video camera arranged to detect a scene to be survielled, a video processor operable to detect moving objects in the video produced by said video camera and to distinguish objects undergoing unexpected motion from objects undergoing expected motion and to highlight the objects undergoing unexpected motion, and a display device connected to receive the processed video from the video processor to display the processed video with the objects undergoing unexpected motion highlighted.

12. A surveillance system as recited in claim 11 wherein said video processor is provided with a storage capacity which stores representations of expected motion in a detected scene, said video processor comparing the motion of moving objects in a detected scene with the stored representations of expected motion to distinguish unexpected motion from expected motion.

13. A surveillance system as recited in claim 11 wherein said video processor is operable to predict the future positions of the detected moving objects from the motion of the detected moving objects, to compare the actual positions of the moving objects with the predicted positions, and to identify an object as undergoing unexpected motion when the actual position of such object is substantially different than the predicted position for such object.

14. A surveillance system as recited in claim 11 wherein said video processor highlights an object undergoing unexpected motion by magnifying such object and the area around such object identified as undergoing unexpected motion.

17. A surveillance system as recited in claim 16, wherein said video processor is further operable to compare the positions of detected moving objects in the frame currently detected by said video camera with the predicted positions of said moving objects, to flag a moving object as having said unexpected motion when the position of such moving object in the current frame is substantially different than the predicted position for such object, and to highlight in said mosaic the object flagged as having unexpected motion whereby the display device displays said mosaic with the object undergoing unexpected motion highlighted.

15. A surveillance system comprising a video camera arranged to detect a scene to be surveilled to produce a video of said scene, a video processor connected to receive said video and operable to detect dense motion vector fields representing the motion of image elements from frame to frame in said video and to identify moving objects depicted on said video by means of said dense motion vector fields, and to highlight in said video a detected moving object by magnifying the display of the moving object and the area around moving object, and a video display device connected to receive the processed video from said video processor and to display the processed video with the moving object and the area around the moving object being magnified.

16. A surveillance comprising a panning video camera arranged to detect a surveilled scene, a video processor connected to receive the video produced by said video camera and operable to combine the frames of said video into a mosaic representing a panoramic view of said scene, to detect the motion of moving objects in said scene, to determine the predicted position of objects in said scene determined from the detected motion of said objects and to update the position of said moving objects in said video in accordance with the predicted motion of said objects in said mosaic, and a video display device connected to receive the video processed by said video processor and to display said mosaic as a panoramic view of the surveilled scene with the moving objects depicted in their predicted positions.

18. A video system comprising a panning video camera a video processor connected to receive the video produced by said panning video camera and operable to generate dense motion vector fields representing the motion of image elements from frame to frame in the video produced by said video camera, to determine the motion of any depicted moving object in said video from said dense motion vector fields, and to predict the immediate future position of said moving object from the detected motion of said moving object, a controller for controlling the motion of said video camera, said video processor controlling said controller to control the motion of said video camera in accordance with the predicted immediate future position of said moving object to maintain the moving object centered in the frame currently being detected by said video camera.