Moving Target Detection and Tracking in IR Image Sequences Based on áTrous Algorithm
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School of Computer Science and Technology

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TP391. 4

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    Abstract:

    The detection and tracking of moving point targets in infrared images are studied mainly. Background suppression and enhancement are carried out for the infrared images with complex background. These processing are implemented by utilizing the advantages of átrous wavelet transform according to the feature that small targets are easy to be lose in infrared images. The possible targets are segmented by using a Fisher algorithm. Then, the small moving targets are tracked and extracted accurately by using an Eight Neighboring Region Analysis Algorithm (ENRAA). The experimental result shows that the proposed algorithm is of important practical value to the detection and tracking of moving targets in infrared image sequences.

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Xu Yongbing. Moving Target Detection and Tracking in IR Image Sequences Based on áTrous Algorithm[J]. Infrared,2015,36(1):35~39

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