A Saliency Based Human Detection Framework for Infrared Thermal Images-Reference-Cited by-同舟云学术

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A Saliency Based Human Detection Framework for Infrared Thermal Images

Published:2017 Issue: Volume: Page:282-294
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Wang Xinbo,Yu Dahai,Han Jianfeng,Zhang Guoshan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7299-4_23

Reference34 articles.

1. Ren, Z., Gao, S., Chia, L.T., Tsang, I.W.H.: Region-based saliency detection and its application in object recognition. IEEE Trans. Circ. Syst. Video Technol. 24(5), 769–779 (2014)

2. Jung, C., Kim, C.: A unified spectral-domain approach for saliency detection and its application to automatic object segmentation. IEEE Trans. Image Process. 21(3), 1272–1283 (2012)

3. Qi, S., Ma, J., Tao, C., Yang, C., Tian, J.: A robust directional saliency-based method for infrared small-target detection under various complex backgrounds. IEEE Geosci. Remote Sens. Lett. 10(3), 495–499 (2013)

4. Qi, B., Wu, T., Dai, B., He, H.: Fast detection of small infrared objects in maritime scenes using local minimum patterns. In: 2011 18th IEEE International Conference on Image Processing (ICIP), pp. 3553–3556 (2011)

5. Han, J., Ma, Y., Zhou, B., Fan, F., Liang, K., Fang, Y.: A robust infrared small target detection algorithm based on human visual system. IEEE Geosci. Remote Sens. Lett. 11(12), 2168–2172 (2014)

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1. ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2018-06

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