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Aerial video moving object detection method based on motion information and regional characteristic

A technology of regional features and moving targets, applied in the field of aerial video moving target detection, which can solve problems such as poor target detection integrity

Inactive Publication Date: 2017-11-07
NORTHWESTERN POLYTECHNICAL UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of poor target detection integrity in existing moving target detection methods, the present invention provides a moving target detection method based on motion information and regional features in aerial video

Method used

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  • Aerial video moving object detection method based on motion information and regional characteristic
  • Aerial video moving object detection method based on motion information and regional characteristic
  • Aerial video moving object detection method based on motion information and regional characteristic

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Embodiment Construction

[0037] The specific steps of the aerial photography video moving target detection method based on motion information and regional features of the present invention are as follows:

[0038] Step 1. Motion information detection based on background modeling.

[0039] The input image is divided into 4×4 image blocks, and two single Gaussian models are used for background modeling for all pixels in each image block, which are respectively used as the active background model and the candidate background model. If the current image satisfies the following formula (1) or formula (2), select the corresponding background model to update, that is: update the active model when formula (1) is satisfied; update the backup model when formula (2) is satisfied. If neither formula is satisfied, an alternate model is initialized using the current observations.

[0040]

[0041]

[0042] In the formula, Respectively represent the mean, variance and lifetime of the active model of image blo...

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Abstract

The invention discloses an aerial video moving object detection method based on motion information and a regional characteristic, and is used to solve the technical problem of poor object detection integrity of an existing moving object detection method. The technical scheme comprises the following steps: firstly, moving pixel detection is performed using a background difference method, and then a candidate motion region in an image is obtained; spot detection is performed on the image through adoption of a watershed algorithm based on local extreme values then, and all static candidate objects are obtained; and, finally, moving object extraction is performed through combinations with the motion information and the regional characteristic, a complete moving object detection frame is obtained, and the false alarm rate is reduced.

Description

technical field [0001] The invention relates to a method for detecting a moving target, in particular to a method for detecting a moving target in an aerial video based on motion information and regional features. Background technique [0002] The document "Detection of moving objects with non-stationary cameras in5.8ms:Bringing motion detection to your mobile device,Proceedings of the IEEEConference on Computer Vision and Pattern Recognition Workshops.2013:27-34." proposed a dual-modal A moving target detection method for mobile platforms based on Gaussian background modeling. Based on dividing the image into blocks, the method uses the same dual-mode Gaussian background model to model multiple pixels in each image block. In order to reduce the error of motion compensation, the current image is motion compensated by weighting and fusing the background models of multiple image blocks in the previous frame. Finally, the background subtraction method is used to detect the mo...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/136G06T7/194
CPCG06T7/246G06T7/136G06T7/194G06T2207/10016G06T2207/20152
Inventor 杨涛段文成张艳宁李治王超
Owner NORTHWESTERN POLYTECHNICAL UNIV
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