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Ground mobile target detection based on bottom-up and top-down saliency combination
Author(s): Shuxin Li; Zhilong Zhang; Biao Li
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Paper Abstract

We proposed a saliency based algorithm to detect the ground mobile targets, such as plane and vehicle, in the images. The algorithm combines the bottom-up and top-down mode to detect the targets. Firstly, in the bottom-up mode, the algorithm extracts the low level image features, such as intensity, standard deviation and Gabor features, to calculate the difference between the current pixel and the pixel around it and use the difference as the bottom-up saliency of the pixel; Then, the algorithm extracts the HOG features of the plane and vehicle targets to train a SVM classifier, which can learn the high level knowledge of the target. When testing on a new image, the classifier uses the knowledge to predict the possibility of appearance of the target as the top-down saliency of each position of the image; Finally, we combine the two saliency maps to get the final saliency map and use it to detect targets in the image. Experiments show that the algorithm can effectively detect the ground mobile targets robustly in complex backgrounds.

Paper Details

Date Published: 20 February 2018
PDF: 6 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106970D (20 February 2018); doi: 10.1117/12.2306020
Show Author Affiliations
Shuxin Li, National Univ. of Defense Technology (China)
Zhilong Zhang, National Univ. of Defense Technology (China)
Biao Li, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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