[4] Chen K, Loy C C, Gong S et al. Feature mining for localised crowd counting. [C]∥Proceedings of the 23 rd British Machine Vision Conference , 1, 3(2012).
[7] Zhang Y Y, Zhou D S, Chen S Q et al. Single-image crowd counting via multi-column convolutional neural network. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 589-597(2016).
[8] Zhang C, Li H S, Wang X G et al. Cross-scene crowd counting via deep convolutional neural networks. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 833-841(2015).
[9] Boominathan L. Kruthiventi S S S, Babu R V. Crowdnet: a deep convolutional network for dense crowd counting. [C]∥Proceedings of the 2016 ACM on Multimedia Conference, 640-644(2016).
[11] Chu J L. Krzy ak A. Analysis of feature maps selection in supervised learning using convolutional neural networks . [C]∥Proceedings of Canadian Conference on Artificial Intelligence, 59-70(2014).
[12] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks. [C]∥Proceedings of the 25 th International Conference on Neural Information Processing Systems , 1097-1105(2012).
[13] Simonyan K[J]. Zisserman A. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv, 1556, 2014(1409).
[14] Idrees H, Saleemi I, Seibert C et al. Multi-source multi-scale counting in extremely dense crowd images. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2547-2554(2013).
[16] Lempitsky V, Zisserman A. Learning to count objects in images. [C]∥Proceedings of International Conference on Neural Information Processing Systems, 1324-1332(2010).
[17] Jones M J, Snow D. Pedestrian detection using boosted features over many frames. [C]∥Proceedings of 19 th International Conference on Pattern Recognition , 1-4(2008).
[18] Felzenszwalb P. McAllester D, Ramanan D. A discriminatively trained, multiscale, deformable part model. [C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1-8(2008).