A novel infrared mono-station passive location algorithm for a maneuvering target is presented based on infrared
imaging, series images processing and three dimensional movement analysis. The algorithm results in the relative
distance between the maneuvering target and the measurement station by using the measured information of infrared
imaging target. It accurately reflects the actual situation of complex relative movement between the mobile target and the
mobile measurement platform, effectively overcomes the bad influence of the gesture change in the target itself and the
pseudo-gesture change in the target caused by the relative movement between the mobile measurement platform and the
mobile target on ranging precision, objectively reflects the various actual states on the complex relative movement
between the mobile measurement platform and the mobile target. It is applicable to such relative motion models between
the maneuvering target and the maneuvering measurement station as the invariable velocity, invariable acceleration and
variable acceleration and so on with high location precision, small cubage and great mobility. The correctness and
validity of the algorithm are illustrated by both the computer digital simulation and the semi-practicality visible light
imaging simulation. Under the conditions of satisfying the measurement precision requirements on the image and angle
parameters of the target, the relative error of measuring distance is not larger than 5%. At the same time, the algorithm is
also suitable for visible light mono-station passive location.
KEYWORDS: Cameras, Image processing, Detection and tracking algorithms, Ranging, Digital signal processing, Radon, Geography, Lithium, Data modeling, Analytical research
It investigated in an image sequence procession algorithm for finding the distance from a moving target in space to the
mobile camera. Through 4-pairs points matching in adjacent image frame, the radial distance variation between adjacent
sampling times was calculated, with the target's azimuth, pitching, characteristic linearity and the space coordinate of the
camera jointed, a 4-order non-linearity equation was set up, distance from target to the camera at former time, i.e., the
only meaningful solution to the equation was solved, then obtained the distance from target to the camera at this time.
The ranging principle was explained, the ranging equation was deduced, the ranging error was analyzed, and the relative
measurement data and experiment results were given. It was suggested by our research that this algorithm could estimate
the distance from a moving target in space to the camera with only two image needed, an experiment was conducted to
illustrate the effectiveness and the validity of the algorithm. This scheme is valid to any rigid target in three-dimension
movement which could be superficially imaging and had a distance variation between adjacent sampling time meanwhile,
the algorithm can be realized with DSP and VLSI chips at 25 frame per second.
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