Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0410007(2023)
Method for Classifying Crime Scene Photographs Based on Convolution Neural Network
[1] Li X C, Ji X L, Wei W et al. Research on fingerprint location algorithm based on OCAE-SOM[J]. Laser & Optoelectronics Progress, 58, 0812001(2021).
[2] Xu H, Wang X D, Wu N. Indoor visible light fingerprint positioning scheme based on convolution neural network[J]. Laser & Optoelectronics Progress, 58, 1706008(2021).
[3] Cao Y P, Li X J, Hu Y Y. Visible light fingerprint-based high-accuracy indoor positioning method[J]. Laser & Optoelectronics Progress, 56, 160601(2019).
[4] Zhang H Y, Yang W M, Wang H S. Face reconstruction method based on optimized three-dimensional morphable model parameters[J]. Laser & Optoelectronics Progress, 58, 2015008(2021).
[5] Gao L Y, Sun D, Lu Y X. Face detection algorithm based on a lightweight attention mechanism network[J]. Laser & Optoelectronics Progress, 58, 0210010(2021).
[6] Yao L S, Xu G M, Zhao F. Facial expression recognition based on local feature fusion of convolutional neural network[J]. Laser & Optoelectronics Progress, 57, 041513(2020).
[7] Liu M J, Cao Y Z, Zhu S Y et al. Feature fusion video target tracking method based on convolutional neural network[J]. Laser & Optoelectronics Progress, 57, 041502(2020).
[8] Gao D Y, Kang Z B, Wang S et al. Human-body action recognition based on dense trajectories and video saliency[J]. Laser & Optoelectronics Progress, 57, 241003(2020).
[9] Yu F S, Yu J, Lu Y F et al. Gender classification of iris image based on residual network[J]. Laser & Optoelectronics Progress, 58, 1610022(2021).
[10] Bucheli S R, Pan Z G, Glennie C L et al. Terrestrial laser scanning to model sunlight irradiance on cadavers under conditions of natural decomposition[J]. International Journal of Legal Medicine, 128, 725-732(2014).
[11] Lega M, Ferrara C, Persechino G et al. Remote sensing in environmental police investigations: aerial platforms and an innovative application of thermography to detect several illegal activities[J]. Environmental Monitoring and Assessment, 186, 8291-8301(2014).
[12] Tijtgat N, van Ranst W, Volckaert B et al. Embedded real-time object detection for a UAV warning system[C], 2110-2118(2017).
[13] Araújo P, Mendonça M, Fontinele J et al. Towards autonomous investigation of crime scene by using drones[J]. Sensors & Transducers, 234, 30-36(2019).
[14] Cunha R R, Arrabal C T, Dantas M M et al. Laser scanner and drone photogrammetry: a statistical comparison between 3-dimensional models and its impacts on outdoor crime scene registration[J]. Forensic Science International, 330, 111100(2022).
[15] Araújo P, Miranda R, Carmo D et al. Air-SSLAM: a visual stereo indoor SLAM for aerial quadrotors[J]. IEEE Geoscience and Remote Sensing Letters, 14, 1643-1647(2017).
[16] Wang K X, Li Z R, Wang X B et al. Automated classification method for crime scene sketches[J]. Laser & Optoelectronics Progress, 57, 041009(2020).
[17] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).
[19] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C](2015).
[20] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).
[22] Sandler M, Howard A, Zhu M L et al. MobileNetV2: inverted residuals and linear bottlenecks[C], 4510-4520(2018).
[24] Liao X. New features and countermeasures of crime scene photography[J]. Police Technology, 4-6(2007).
[25] Wang L J. Research on the new mechanism of “one long and four necessities” site survey[J]. Legal and Economy, 172-174(2016).
[26] Niu X J[M]. Practical Guide to road traffic accident scene investigation(2013).
[27] Xie J, Wang Z Q[M]. Criminal imaging technology(2014).
[28] Xu Y Q, Huang C[M]. Introduction to public security science and technology(2009).
[30] He K M, Zhang X Y, Ren S Q et al. Identity mappings in deep residual networks[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016, 9908, 630-645(2016).
[31] Jia Y Q, Shelhamer E, Donahue J et al. Caffe: convolutional architecture for fast feature embedding[J]. MM 2014-Proceedings of the 2014 ACM Conference on Multimedia, 675-678(2014).
[32] Yan R, Liao J D, Wu X Y et al. Research on classification method of sand and gravel aggregate based on convolutional neural network[J]. Laser & Optoelectronics Progress, 58, 2010015(2021).
Get Citation
Copy Citation Text
Zhuorong Li, Yunqi Tang, Nengbin Cai. Method for Classifying Crime Scene Photographs Based on Convolution Neural Network[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0410007
Category: Image Processing
Received: Oct. 28, 2021
Accepted: Dec. 21, 2021
Published Online: Feb. 14, 2023
The Author Email: Tang Yunqi (tangyunqi@ppsuc.edu.cn)