Supercharge Your Innovation With Domain-Expert AI Agents!

System and method for managing moving surveillance cameras

A computer system and camera technology, applied in CCTV systems, components of TV systems, components of color TVs, etc., can solve problems such as camera motion not working, image distortion, etc.

Active Publication Date: 2008-09-24
KYNDRYL INC
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] These methods work well for stabilizing small camera motions, but stabilize large camera motions that exceed the range of the mechanical actuator's ability to move the individual lenses or sensors to compensate, or are so large that the compensation mechanisms are introduced due to their inherent Problems other types of image distortion have no effect during motion
Furthermore, these methods do not work well for camera motion that cannot be handled by compensation methods capable of compensating for camera motion (such as twisting of the camera around its optical axis)

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System and method for managing moving surveillance cameras
  • System and method for managing moving surveillance cameras
  • System and method for managing moving surveillance cameras

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] Embodiments of the present disclosure focus on techniques for managing images generated from movable cameras, such as those used in video surveillance analysis systems. Although the description that follows relates to cameras used in video surveillance analysis systems, the principles of the present disclosure are applicable in any application employing movable cameras. Embodiments of the present disclosure provide stabilization or motion compensation for images generated from the camera in situations where the camera has experienced small motions, and also have the ability to distinguish large camera motions from small motions, so once these large motions are detected Pauses camera operation.

[0016] figure 1 A schematic diagram for managing images generated from a movable camera 5 according to one embodiment of the present disclosure is shown. Although not in figure 1 shown in , but in one embodiment, system 10 resides in a video surveillance analysis system. In ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An approach that manages moving surveillance cameras is described. In one embodiment, there is a system for managing images generated from a movable camera. In this embodiment, the system comprises a motion estimation component configured to determine camera motion. A camera motion alert component is configured to generate an alert in response to a determination that the camera has moved or the camera has ceased moving.

Description

technical field [0001] The present disclosure relates generally to video camera systems, and more particularly to steerable video surveillance cameras. Background technique [0002] Most recently available video surveillance analysis systems rely on background subtraction to detect interest by comparing incoming video frames with a background model that provides a reference representation of what the video camera should see if no moving objects were present. The goal. The background model is created by a background maintenance program that knows what is normal for each pixel or local area of ​​the camera's field of view. These types of video surveillance analysis systems work on the assumption that the camera is not moving and that any pixel will continue to see the same area of ​​the real world. If this assumption is violated, i.e. the camera is moved, the pixels will receive light from different parts of the real-world scene, and differences not due to scene changes will...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04N5/232H04N7/26G06T7/20G06K9/00G08B21/00
CPCG08B13/19689G08B13/19606
Inventor 安德鲁·W·西尼尔乔纳森·H·康奈尔二世田英利阿朗·汉帕珀徐秋风
Owner KYNDRYL INC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More