The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Fully Convolutional Region Proposal Networks for Multispectral Person Detection
Abstract
Multispectral images that combine visual-optical (VIS) and infrared (IR) image information are a promising source of data for automatic person detection. Especially in automotive or surveillance applications, challenging conditions such as insufficient illumination or large distances between camera and object occur regularly and can affect image quality. This leads to weak image contrast or low object resolution. In order to detect persons under such conditions, we apply deep learning for effectively fusing the VIS and IR information in multispectral images. We present a novel multispectral Region Proposal Network (RPN) that is built up on the pre-trained very deep convolutional network VGG-16. The proposals of this network are further evaluated using a Boosted Decision Trees classifier in order to reduce potential false positive detections. With a log-average miss rate of 29:83% on the reasonable test set of the KAIST Multispectral Pedestrian Detection Benchmark, we improve the current state-of-the-art by about 18%.
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Cites
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ImageNet Large Scale Visual Recognition Challenge
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Shen, J., Chen, Y., Liu, Y., Zuo, X., Fan, H., & Yang, W. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2023.109913 · Cited by 544
Illumination-aware faster R-CNN for robust multispectral pedestrian detection
Li, C., Song, D., Tong, R., & Tang, M. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2018.08.005 · Cited by 533
Guan, D., Cao, Y., Yang, J., Cao, Y., & Yang, M. Y. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.017 · Cited by 342
Cross-modality interactive attention network for multispectral pedestrian detection
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.09.015 · Cited by 320
RGB-T Salient Object Detection via Fusing Multi-Level CNN Features
Zhang, Q., Huang, N., Yao, L., Zhang, D., Shan, C., & Han, J. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2959253 · Cited by 247
Metadata
- Authors
- Konig, D., Adam, M., Jarvers, C., Layher, G., Neumann, H., & Teutsch, M.
- Venue
- 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Publisher
- IEEE
- Published
- 2017-07
- Pages
- 243-250
- OpenAlex
- W2741620214
- Cited by
- 287
- References
- 39
- FWCI
- 5.58
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Konig, D., Adam, M., Jarvers, C., Layher, G., Neumann, H., & Teutsch, M. (2017). Fully Convolutional Region Proposal Networks for Multispectral Person Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw.2017.36
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