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Hand Detection Based on Multi-scale Fully Convolutional Networks
27
Cremers D, Reid I, Saito H, Yang MH (eds) Processing of Asian conference on computer
vision (ACCV). LNCS, vol 9006. Springer, Cham, pp 64–78
6. Karlinsky L, Dinerstein M et al (2010) The chains model for detecting parts by their context.
In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Press, San
Francisco, pp 25–32
7. Ghiasi G, Yang Y et al (2014) Parsing occluded people. In: Proceedings of computer vision
and pattern recognition (CVPR). IEEE Press, Columbus, pp 2401–2408
8. Le THN, Zheng Y et al (2016) Robust hand detection in vehicles. In: 23rd international
conference on pattern recognition (ICPR). IEEE Press, Cancun, pp 573–578
9. Hoang Ngan Le T, Quach KG et al (2017) Robust hand detection and classification in
vehicles and in the wild. In: 2017 IEEE conference on computer vision and pattern
recognition workshops (CVPRW). IEEE Press, Honolulu, pp 1203–1210
10. Ding Lu, Wang Yong et al (2019) Multi-scale predictions for robust hand detection and
classification. Multimed Tools Appl. https://doi.org/10.1007/s11042-019-08080-4
11. Deng X, Yuan Y et al (2018) Joint hand detection and rotation estimation by using CNN.
IEEE Trans Image Process 27(4):1888–1900
12. Huang L, Yang Y et al (2015) DenseBox: unifying landmark localization with end to end
object detection. arXiv: 1509.04874
13. Zhou T, Pillai V et al (2016) Hierarchical context-aware hand detection algorithm for
naturalistic driving. In: IEEE 19th international conference on intelligent transportation
systems (ITSC). IEEE Press, Rio de Janeiro, pp 1291–1297
14. Das N, Ohn-Bar E et al (2015) On performance evaluation of driver hand detection
algorithms: challenges, dataset, and metrics. In: IEEE 18th international conference on
intelligent transportation systems. IEEE Press, Las Palmas, pp 2953–2958
Hand Detection Based on Multi-scale Fully Convolutional Networks
27