A fast detection method for moving targets in UAV video based on the feature extraction

doi:10.6046/gtzyyg.2020227

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Abstract

Aiming at tackling the problem of the low efficiency of common detection methods and the dynamic background of UAV-based video sequences imagery, this paper proposes a fast detection method for moving targets in UAV video based on the feature extraction. The method mainly includes six steps, i.e., preprocessing, ORB feature extraction, PROSAC feature fine matching, global motion estimation and global motion compensation, initial detection of moving target and morphological post-processing. The results of two video experiments carried by UAVs show that the moving target detection results of the proposed method in this paper are better, the computational efficiency is the highest, and hence this method can meet the requirements of real-time processing.

Keywords video sequential imagery ORB feature PROSAC fine matching moving target detection

ZTFLH:

TP751

Issue Date: 21 July 2021

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	Xiong TAN
	Jinglei WANG
	Yifan SUN

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Xiong TAN,Jinglei WANG,Yifan SUN. A fast detection method for moving targets in UAV video based on the feature extraction[J]. Remote Sensing for Land & Resources, 2021, 33(2): 27-32.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020227 OR https://www.gtzyyg.com/EN/Y2021/V33/I2/27

Fig.1 Processing flowchart of processed method

Fig.2 Schematic diagram of FAST key feature point detection

Fig.3 Dji Royal 2 UAV video sequence imagery

Fig.4 Unmanned airship video sequence imagery

Fig.5 Result of coarse matching of data 1

Fig.6 Result of fine matching of data 1

Fig.7 Result of motion compensation of data 1

Fig.8 Results of moving target detection by original image frame using difference method of data 1

Fig.9 Result of moving target detection results of the proposed method of data 1

Fig.10 Result of coarse matching of data 2

Fig.11 Result of fine matching of data 2

Fig.12 Result of motion compensation of data 2

Fig.13 Results of moving target detection by original image frame using difference method of data 2

Fig.14 Result of moving target detection results of the proposed method

Tab.1 Moving target detection efficiency(″)

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