专利汇可以提供Cooperative nesting of mechanical and electronic stabilization for an airborne camera system专利检索,专利查询,专利分析的服务。并且A method and system for stabilizing images being taken by a video camera using electromechanical stabilization. The stabilization system performs inter-frame stabilization based on the velocity of a vehicle on which the video camera is mounted and the pan rate of a line-of-sight controller of the video camera. The inter-frame stabilization is performed by a software component by moving a display area (or viewport) within a larger image area. The stabilization system converts an inter-frame stabilization adjustment into a pan rate adjustment so that the line-of-sight controller will keep the desired object within the image area of the camera.,下面是Cooperative nesting of mechanical and electronic stabilization for an airborne camera system专利的具体信息内容。
The invention claimed is:
This application claims the benefits of the following provisional applications:
which are hereby incorporated by reference.
The described technology stabilizes an image stream created by an airborne video camera.
If not stabilized, the image streams created by airborne video cameras can be practically unusable for human observation because frame-to-frame image jitter is excessive. This image jitter typically is caused by small, fast pointing errors superposed upon larger-amplitude, slower pointing errors.
It is possible to reduce this image jitter to acceptable levels with refined mechanical stabilization techniques, stabilizing the line of sight of the image so that image jitter amplitude is less than an acceptable limit. Such an approach can deliver high-quality image streams from all types of cameras (video or film) but leads to large, heavy mechanical systems for support of the airborne camera. Such systems are the subject of U.S. Pat. Nos. 5,897,223; 3,638,502; 4,989,466; 4,643,539; and 5,184,521. An approach relying purely upon mechanical stabilization leads to heavy and complex mechanical systems.
Usually, multiple nested mechanical stages of stabilization are required, with each stage reducing the image jitter further, purely by reduction in jitter of the line of sight.
It would be desirable to have a technique to reduce jitter and avoid the need to have such large, heavy, and expensive mechanical systems.
A method and system for stabilizing images being taken by a video camera using electromechanical stabilization is provided. In one embodiment, the stabilization system performs inter-frame stabilization based on the velocity of a vehicle on which the video camera is mounted and the pan rate of a line-of-sight controller of the video camera. The inter-frame stabilization is performed by a software component by moving a display area (or viewport) within a larger image area. The inter-frame stabilization removes small-amplitude jitter while accounting for vehicle velocity and orientation, pan rate and orientation of the line-of-sight controller, distance to an object within the image, and field of view of the camera. The stabilization system converts an inter-frame stabilization adjustment into a pan rate adjustment so the line-of-sight controller will keep the desired object within the image area of the camera. In this way, the stabilization system uses an electronic stabilization to remove small-amplitude jitters and feeds those adjustments to a mechanical stabilization to account for large-amplitude jitter.
In one embodiment, the stabilization system comprises a video camera controlled by a gimbal-based, line-of-sight controller that is mounted on an aircraft. While the aircraft is flying, the video camera feeds images to the software component that provides the inter-frame stabilization based on the scan and tilt rate (i.e., pan rate) of the line-of-sight controller. The software component removes small-amplitude jitter while factoring in the scan and tilt rate of the line-of-sight controller. The software component receives images from the camera that are larger than the display area. The software component moves the display area around within the larger image to remove the small-amplitude jitter. The software component then calculates a scan and tilt rate adjustment for the line-of-sight controller. The software component then provides the adjustment to the line-of-site controller so it can keep the video camera at the desired line of sight.
The stabilization system nests mechanical stabilization and electronic stabilization loops to exploit modern capabilities in electronics and image processing. Because not all of the stabilization is achieved mechanically, a simpler, cheaper, smaller, lighter, and lower-power mechanical gimbal system may be used.
The stabilization system uses an electronic image stabilization to augment mechanical line-of-sight stabilization to achieve full frame-to-frame stabilization of the image flow. The mechanical system is used for the large-amplitude, slow line-of-sight corrections required, while electronic stabilization is used for the small-amplitude, faster corrections not handled by the mechanical system. These stabilization loops are nested to take advantage of the characteristics of both types of stabilization. The stabilization system can implement various levels of interaction between these stabilization methods.
Inner-to-Outer Nulling
The fastest, smallest-amplitude stabilization is implemented electronically by “sliding” successive frames in the image stream on the display screen or on the focal plane array within the camera. This type of stabilization accounts for small amplitudes, typically a small fraction of the frame. The stabilization system provides the image correction implemented by this electronic stabilization to the mechanical pointing system (i.e., the line-of-sight controller) so that the mechanical pointing system can implement movements to cause the long-term average electronic image correction to tend toward zero. If such corrections are not implemented by the mechanical pointing system, then the displayed image might slowly drift and exceed the limits of practical correction of the electronic stabilization.
Outer-to-Inner Coupling
A user may want the image to “flow” across the screen, as for example, when the camera is panned while images are being gathered. An electronic stabilization system may misinterpret such image flow as unwanted jitter and will attempt to correct for it. Such misinterpretation would lead to momentarily stabilized images with sudden “steps” required when the electronic correction reaches its practical limit. The stabilization system can prevent such sudden steps if provided with image flow from the command system of the mechanical pointing system. Thus, the stabilization system can be used to enable smooth electronic image stabilization, even when the camera is being panned across a scene and the image flows across the display screen.
The stabilization system inputs the images generated by the camera, the velocity of the aircraft in the earth reference frame VaircraftE, the camera scan rate and tilt rate, the orientations of the aircraft and the camera, and the distance to an object in the images. The stabilization system analyzes consecutive frames and determines the optimal translation of one frame to make it best coincide with the preceding frame. The stabilization system may use conventional pattern recognition techniques to locate the object within the image. The stabilization system provides an offset in pixels to best superimpose one frame onto the next frame. The pixel offsets may be represented as the number of pixels horizontally (also referred to as the scan direction) and the number of pixels vertically (also referred to as the tilt direction) on the display. In one embodiment, the stabilization system has an image buffer in memory that is larger than the displayed image. When the stabilization system detects variations in the position of an object resulting from jitter, it can offset the displayed image by the calculated scan and tilt offset, providing a frame that best superimposes with the previous displayed frame, thus effectively removing the jitter.
Since the camera may be panning a scene and the aircraft platform may be moving relative to the scene, a portion of the pixel offsets calculated by the stabilization system may be a result of this desired movement. In such a case, the stabilization system is provided with aircraft velocity and orientation, camera line of sight and orientation, and camera scan and tilt rate to estimate and factor out this desired movement before adjusting the image. The stabilization system calculates the sum of the pixel offsets resulting from the aircraft velocity and orientation, and the camera orientation and angular rate. The stabilization system then subtracts this sum from the pixel offsets calculated from the image analysis to give the pixel offsets attributable to the jitter.
Because the number of offset pixels is limited, the electromechanical stabilization loop keeps the desired image in the center of the camera. To do so, the stabilization system uses the pixel offsets to re-center the gimbal angles of the camera. The stabilization system converts the pixel offsets to corresponding scan and tilt error. The stabilization system also calculates scan and tilt rates. It then adjusts the scan and tilt rate of the camera to track an object or prevent an overflow of the pixel offset in the stabilization system.
The stabilization system uses transformation matrices to represent the current orientation of the body of the aircraft relative to the earth reference frame and the current orientation of the camera to the body reference frame. The camera reference frame relative to the body of the plane reference frame is represented by a transformation matrix CCB for transforming a vector from the body reference frame to the camera reference frame. CCB is a 3-by-3 matrix whose columns are orthogonal and normalized, also referred to as a matrix of direction cosines. The following equation represents the conversion of a position in the body reference frame to the camera reference frame:
RC=CCBRB (1)
where RB represents the position in the body reference frame and RC represents the position in the camera reference frame. An example CCB is
The matrix CCB is set based on the angles of the gimbal relative to the body. Thus, this matrix represents the current gimbal angles. A matrix CBE is for transforming from the earth reference frame to the body reference frame. Thus, the matrix CBE represents the heading, pitch, and roll of the aircraft as measured by the gyro of the aircraft.
CCE=CCBCBE (3)
In block 902, the component calculates the line of sight of the camera in the earth reference frame as
LE=CCET(1,0,0)T (4)
where LE is the line of sight of the camera in the earth reference frame and where the superscript T represents the transpose of the matrix or vector. In block 903, the component retrieves the distance or range K to the object at the center of the camera. The range may be provided by a range finder or by calculating the distance using the altitude of the target. For example, if the object is at sea level, then the distance can be calculated based on the altitude of the aircraft and the angle of the line of sight. In block 904, the component transforms the velocity of the aircraft to the camera reference frame as
VaircraftC=CCE*VaircraftE (5)
In block 905, the component normalizes the velocity of the aircraft as
{tilde over (V)}aircraftC=VaircraftC/K (6)
where {tilde over (V)}aircraftC is the normalized velocity of the aircraft in radians per hour. For example, if the velocity of the aircraft in the scan direction is 100 km/hr and the distance to the object is 1 km, then the normalized velocity is 100 rad/hr, which means the aircraft moves in the scan direction 100 times the distance to the object in one hour. In block 906, the component calculates the difference in scan units as
ΔSC={tilde over (V)}aircraftC(S)*ΔT (7)
where ΔT is the frame refresh period. For example, when the normalized velocity is 100 rad/hr and the refresh rate is 15 times per second, then the change in scan units is:
In block 907, the component calculates the aircraft pixel offset in the scan direction by converting the difference in scan units to the corresponding pixel offset factoring in the field of view (or zoom) of the camera. The component calculates the pixel offset as
APO(S)=ΔSC*P/Z (9)
where APO(S) is the pixel offset in the scan direction, Z is the zoom factor, and P is the pixel density. For example, if the scan units are 1/540 rad and there are 2000 pixels in the scan direction with a field of view of 0.93 rad (1 km field of view at 1 km distance), the pixel offset is
In blocks 908-909, the component calculates the pixel offset in the tilt direction in a similar manner.
ΔSC=IS*ΔT (11)
where IS is the instantaneous scan rate of the camera measured by a rate gyro. In block 1002, the component calculates the difference in tilt units as
ΔTC=IT*ΔT (12)
where IT is the instantaneous tilt rate of the camera measured by a rate gyro. In block 1003, the component calculates the camera pixel offset in the scan direction by converting the difference in scan units to the corresponding pixel offset, factoring in the field of view (or zoom) of the camera. In block 1004, the component calculates the pixel offset in the tilt direction in a similar manner.
AE(S)=ΔSC*K (13)
AE(T)=ΔTC*K (14)
where AE is the angle error and K is the distance to the center of the image. In blocks 1105-1106, the component calculates the adjustments for the angle errors as
A(S)=(W/ΔT)*AE(S) (15)
A(T)=(W/ΔT)*AE(T) (16)
where A(S) is the adjustment for the scan rate in radians per second and W is a weighting factor that controls the bandwidth of the feedback loop. The weighting factor controls the speed at which adjustments can be made to the scan and tilt rates. The stabilization system compares the adjustment to the scan rate of the camera provided by the gyro and uses the difference in rate to control the velocity of the gimbal motors.
All patents and articles cited herein are hereby incorporated by reference in their entirety and relied upon. Further details of methods of operating airborne cameras in accordance with other embodiments of the invention are described in U.S. Patent Application No. 60/440,983, filed on Jan. 17, 2003, and entitled, “Compensation for Overflight Velocity When Stabilizing an Airborne Camera,” and U.S. Patent Application No. 60/440,977, filed on Jan. 17, 2003, and entitled, “Method and Apparatus for Stabilizing Payload, Including Airborne Cameras,” which are hereby incorporated by reference.
One skilled in the art will appreciate that although specific embodiments of the stabilization system have been described herein for purposes of illustration, various modifications may be made without deviating from the spirit and scope of the invention. For example, the principles of the stabilization system may be used on a transport mechanism other than an airplane, such as a satellite, a rocket, a missile, a train, an automobile, and so on. In addition, the camera may even be stationary or not traveling relative to an object in the video. Accordingly, the invention is not limited except by the appended claims.
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