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Method for detecting motion targets by cooperating multi-camera

A technology for coordinated motion and target detection, applied in image data processing, instruments, computing, etc., can solve the problem of high error rate, achieve the effect of removing false alarms and reducing detection error rate

Inactive Publication Date: 2010-06-16
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the shortcomings of the high error rate of the multi-camera moving target detection and tracking method in the prior art, the present invention provides a multi-camera cooperative moving target detection method, on the basis of making full use of multi-view information, without relying on calibration information, to solve the problem of target individuality The problem of moving target detection and positioning under the condition that the number is more than the number of cameras, that is, within a certain range, increase the number of constraint planes instead of increasing the number of cameras to achieve the removal of false alarms, which can reduce the detection error rate and improve detection accuracy

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Embodiment Construction

[0029] Concrete method steps of the present invention are as follows:

[0030] (1) Initialization and calculation of parameters.

[0031] Assuming that there are viewnum cameras, this embodiment selects viewnum=3, selects viewing angle 1 as a reference viewing angle, first calculates the mapping matrix H between viewing angle 1 and the top view plane, and then selects K horizontal planes evenly distributed from the ground to the top of the head as Projection constraint plane, denoted as π i , i=1, 2, ..., K (this embodiment gets K=5), and are calculated in π respectively i (i=1, 2, ..., K) The mapping parameter H of the j-th view to the reference view under the constraint ij , i represents the i-th plane, j represents the j-th viewing angle, here the perspective transformation model is used for H ij calculation (H ij represents the i-th horizontal plane π i The mapping matrix from the jth view to the reference view under the constraint).

[0032] (2) Foreground extractio...

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Abstract

The invention discloses a method for detecting motion targets by cooperating multi-camera and solves the technical problems that the method for detecting motion targets by cooperating multi-camera of the prior art has high error rate. The invention utilizes multi-plane limited multi-camera cooperation to detect motion targets and solves the shelter problem by using multi-visual redundancy. Without increasing the number of cameras, the redundancy of multi-camera is efficiently removed by limiting multi-plane in order to remove false-alarm and decrease the error rate for detection. In the scene of three cameras and six persons, the average error rate of the prior art is decreased to 21.8% from 69.8%.

Description

technical field [0001] The invention relates to a target detection method, in particular to a multi-camera cooperative moving target detection method. Background technique [0002] The document "A multiview approach to tracking people in crowded scenes using a planar homography constraint, Lecture Notes in Computer Science, Computer Vision-ECCV 2006, 3954LNCS(7), p133-146, January 2006" discloses a multiview method based on planar mapping constraints. Camera moving target detection and tracking method. This method first selects a certain camera angle of view as the reference angle of view, extracts the foreground of the image data obtained from each angle of view through the background difference based on the mixed Gaussian model, and then projects the obtained foreground probability images to the coordinate system of the reference angle of view according to the ground constraints Down. Multiply the transformed probability maps of various perspectives to obtain a comprehen...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/254G06T7/292
Inventor 张艳宁仝小敏杨涛邵大培张秀伟
Owner NORTHWESTERN POLYTECHNICAL UNIV
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