Small target detection from image sequences using improved recursive max-mean filter

2001 ◽  
Author(s):  
Junwei Li ◽  
Zhenfu Zhu ◽  
Zhongling Liu
Keyword(s):  
Target Detection ◽  
Image Sequences ◽  
Small Target ◽  
Small Target Detection ◽  
Mean Filter

DETECTION OF MOVING SMALL TARGETS IN INFRARED IMAGE SEQUENCES CONTAINING CLOUD CLUTTER

2004 ◽  
Vol 18 (02) ◽  
pp. 247-260 ◽  
Author(s):  
WEI WU ◽  
JIAXIONG PENG
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Spatial Filtering ◽  
Image Sequences ◽  
Small Target ◽  
Temporal Filtering ◽  
Small Target Detection ◽  
Small Targets ◽  
Novel Algorithm

Detecting and tracking dim moving small targets in infrared image sequences containing cloud clutter is an important area of research. The paper proposes a novel algorithm for the dim moving small target detection in cloudy background. The algorithm consists of three courses. The first course consists of the image spatial filtering and the sequence temporal filtering, it can be realized by two parallel calculative parts. The second course is the fusion and the segmentation processing. The last course is the targets acquiring and tracking, it can be achieved by the Kalman tracker. The results of our experiment prove that the algorithm is very effective.

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