The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from CAMERA egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCAMERA shift detection and suppression moduleDetect of small CAMERA shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs
PHILIPS 7130 TV/FM capture card use PHILIPS 7130 chip , is a newly built-in TV card integrating FM radio and TV receiver. You can watch/record TV programs (up to 136 channels) and FM radio on PC. The powerful attached software enables you to & rename favorite channels as per your taste. Moreover, the remote controller makes watching TV through PC more convenient. Through PHILIPS 7130 TV/FM capture card, you can transfer & save the full screen/full motion video captured VCR, camcorder, PC CAMERA or other video sources into hard disk, or you can burn the video to VCD/SVCD/DVD via professional rewrite software. PHILIPS 7130 TV/FM capture card supports snapshot, you can record wonderful clips to create your personal e-album, then share your works with your friends & family via Internet.
Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of CAMERA parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator.
The Jacobian matrix estimator does not need a priori
knowledge of the kinematic structure and parameters
of the robot system, such as CAMERA and link parameters.
The proposed visual servoing control scheme ensures
the convergence of the image-features to desired
trajectories, by using the estimated Jacobian matrix,
which is proved by the Lyapunov stability theory. To
show the effectiveness of the proposed scheme, simulation
and experimental results are presented.
a sample WDM stream class video capture driver that supports two IEEE 1394 digital CAMERAs.
The same driver may be able to support other digital CAMERAs that conform to 1394-based Digital CAMERA Specification from 1394 Trade Association.
Digital CAMERA supported by dcam.sys is a data source that produces digital image data without any other input connection. It manifests itself in a DirectShow graph as a WDM Streaming Capture Device and as a capture filter that has output capture stream supporting image sizes of 320x240 with a UYVY color space. Its de-compressor, Msyuv.dll, is part of the OS delivery, and it can convert image data format from UYVY to RGB16, RGB8, or to a Direct Draw surface if the video card supports UYVY format.
This paper presents a visual based localization
mechanism for a legged robot. Our proposal, fundamented
on a probabilistic approach, uses a precompiled topological
map where natural landmarks like doors or ceiling lights
are recognized by the robot using its on-board CAMERA.
Experiments have been conducted using the AIBO Sony
robotic dog showing that it is able to deal with noisy sensors
like vision and to approximate world models representing
indoor ofce environments. The two major contributions of
this work are the use of this technique in legged robots, and
the use of an active CAMERA as the main sensor
