Small target detection in infrared image using convolutional neural networks

Addressing the problems of visual surveillance for anti-UAV, a new flying small target detection method is proposed based on Gaussian mixture background modeling in a compressive sensing domain and low-rank and sparse matrix decomposition of local image. First of all, images captured by stationary visual sensors are broken into patches and the candidate patches which perhaps contain targets are identified by using a Gaussian mixture background model in a compressive sensing domain. Subsequently, the candidate patches within a finite time period are separated into background images and target images by low-rank and sparse matrix decomposition. Finally, flying small target detection is achieved over separated target images by threshold segmentation. The experiment results using visible and infrared image sequences of flying UAV demonstrate that the proposed methods have effective detection performance and outperform the baseline methods in precision and recall evaluation.

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Adaptive small target detection based on evaluating complex degree of infrared image

10.1117/12.836104 ◽

2009 ◽

Cited By ~ 1

Author(s):

Qing-yu Hou ◽

Wei Zhang ◽

Chun-feng Wu ◽

Qiu-ming Li ◽

Li-hong Lu ◽

...

Keyword(s):

Target Detection ◽

Infrared Image ◽

Small Target ◽

Small Target Detection

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Infrared Small Target Detection Based on Morphology and SUSAN Algorithm

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001420500135 ◽

2019 ◽

Vol 34 (06) ◽

pp. 2050013 ◽

Cited By ~ 1

Author(s):

Zhiwei Hu ◽

Yixin Su

Keyword(s):

Target Detection ◽

Infrared Image ◽

Frequency Region ◽

Guidance System ◽

Background Suppression ◽

Small Target ◽

High Frequency Region ◽

Small Target Detection ◽

Small Targets ◽

Infrared Small Target

Infrared small target detection is one of the key techniques in infrared imaging guidance system. The technology of infrared small target detection still needs to be further studied to improve the detection performance. This paper combines the high-pass filtering characteristics of morphological top-hat transform with SUSAN algorithm, and proposes a small infrared target detection method based on morphology and SUSAN algorithm. This method uses top-hat transform to detect the high-frequency region in infrared image, and filters out the low-frequency region in the image to implement the preliminary background suppression of infrared image. Then the SUSAN algorithm is used to detect small targets in the image after background suppression. The proposed method is applied to the single infrared image which is acquired by the infrared guidance system in the process of detecting and tracking the target under specific conditions. The experimental results show that the method is effective and can detect infrared small targets under different background.

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