Multi-target tracking method based on variable processing windows and variable coordinate systems

A multi-target tracking and processing window technology, applied in the field of machine vision and pattern recognition, can solve the problems of surge in calculation, data association error, unfavorable real-time tracking, etc.
CN102708382AInactive Publication Date: 2012-10-03BEIHANG UNIV

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
BEIHANG UNIV
Publication Date
2012-10-03
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

A multi-target tracking method based on variable processing windows and variable coordinate systems includes: step one, performing an initialization process; step two, constructing a space-time processing block for the k frame image; step three, solving a position energy density of the space-time processing block constructed in the step two; step four, extracting position parameters of all targets in the k frame image; step five, matching the target with the position parameter in each processing block to obtain a position observed value Z (k+1) of each target; step six, calculating target speed parameters with the Kalman filter algorithm with weighted gain to reduce calculated amount, amending the position observed value of each object, and strengthening accuracy and robustness of the tracking; and step seven, calculating the motion scale of each target in the k frame image. According to the multi-target tracking method, the variable window, variable projection method and Kalman motion estimation are introduced on the basis of continuous wavelet transform and expectation maximization (EM) fitting algorithm, motion parameters are accurately extracted; and calculated amount is reduced; and accurate tracking of a plurality of motion targets is achieved.
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Description

technical field

[0001] The invention relates to a multi-target tracking method based on a variable processing window and a variable coordinate system, which belongs to the field of machine vision and pattern recognition. It specifically involves a time-space filter based on continuous wavelet transform for the image area in the processing window, and then performs variable coordinate system projection to reduce the dimensionality of the filter results, and then extracts the motion parameters of the target from the one-dimensional energy density curve, and finally realizes multi- A method for moving target tracking. Background technique

[0002] The basic problem of target tracking is to estimate the motion state of the target in real time and accurately according to the observation data. With the development of modern navigation, aviation and aerospace, the research of target tracking technology has been highly valued by various countries. Whether in maritime and air traff...

Claims

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