Head Detection Method Based on Optimized Deformable Regional Fully Convolutional Neutral Networks

Xunsheng Ji; Hao Wang

doi:10.3788/LOP56.141009

[1] Aziz K, Merad D, Iguernaissi R et al. Head detection based on skeleton graph method for counting people in crowded environments[J]. Journal of Electronic Imaging, 25, 013012(2016).

[2] Zhang S S, Jing W B, Liu X et al. A head detection method based on depth information[J]. Journal of Changchun University of Science and Technology(Natural Science Edition), 39, 107-111, 115(2016).

[3] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

[4] Ye G L, Sun S Y, Gao K J et al. Nighttime pedestrian detection based on faster region convolution neural network[J]. Laser & Optoelectronics Progress, 54, 081003(2017).

[5] Qin J, Wang M H. Fast pedestrian proposal generation algorithm using online Gaussian model[J]. Acta Optica Sinica, 36, 1115001(2016).

[6] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

[7] Lim J J, Zitnick C L, Dollar P. Sketch tokens: a learned mid-level representation for contour and object detection. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2013, Portland, OR, USA. New York: IEEE, 3158-3165(2013).

[8] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[9] He K M, Gkioxari G, Dollar P et al[2018-12-25]. Mask R-CNNIEEE Transactions on Pattern Analysis and Machine Intelligence[2018-12-25]. https:∥ieeexplore.ieee.org/document/8372616..

[10] Vu T H, Osokin A, Laptev I. Context-aware CNNs for person head detection. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2893-2901(2015).

[11] Shrivastava A, Gupta A, Girshick R. Training region-based object detectors with online hard example mining. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 761-769(2016).

[12] Bodla N, Singh B, Chellappa R et al. Soft-NMS: improving object detection with one line of code. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 5562-5570(2017).

[13] Liu H, Peng L, Wen J W. Multi-scale aware pedestrian detection algorithm based on improved full convolutional network[J]. Laser & Optoelectronics Progress, 55, 091504(2018).

[14] Yang M, Zhang B, Song Y L. Application of support vector machine based on optimized kernel function in people detection[J]. Laser & Optoelectronics Progress, 55, 041001(2018).

[15] Vedaldi A, Lenc K. MatConvNet: convolutional neural networks for MATLAB. [C]∥Proceedings of the 23rd ACM International Conference on Multimedia, October 26-30, 2015, Brisbane, Australia. New York: ACM, 689-692(2015).