Reduced computational cost prototype for street theft detection based on depth decrement in Convolutional Neural Network. Application to Command and Control Information Systems (C2IS) in the National Police of Colombia

The authors belonging to the Universitat Politecnica de Valencia, Spain, thank National Police of Colombia and its Office of Telematics the support in the development of this project.

[1]  Tong Liu,et al.  Facial Peculiarity Retrieval via Deep Neural Networks Fusion , 2018, Int. J. Comput. Intell. Syst..

[2]  Daniel Welfer,et al.  Cattle Brand Recognition using Convolutional Neural Network and Support Vector Machines , 2017, IEEE Latin America Transactions.

[3]  Li Zhang,et al.  Visual Pedestrian Tracking from a UAV Platform , 2017, 2017 2nd International Conference on Multimedia and Image Processing (ICMIP).

[4]  Luc Van Gool,et al.  Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Ah Chung Tsoi,et al.  Convolutional neural networks for face recognition , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Ajmal Mian,et al.  Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey , 2018, IEEE Access.

[7]  Teddy Ko,et al.  A survey on behavior analysis in video surveillance for homeland security applications , 2008, 2008 37th IEEE Applied Imagery Pattern Recognition Workshop.

[8]  ImageNet Classification with Deep Convolutional Neural , 2013 .

[9]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[10]  Irene Y. H. Gu,et al.  Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Arne Schumann,et al.  A soft-biometrics dataset for person tracking and re-identification , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[12]  Simone Calderara,et al.  Visual Tracking: An Experimental Survey , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Qiang Ji,et al.  The Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision , 2018, IEEE Signal Processing Magazine.

[14]  Sethuraman Panchanathan,et al.  Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations , 2017, IEEE Signal Processing Magazine.

[15]  Dan Li,et al.  Research on target detection and tracking system of rescue robot , 2017, 2017 Chinese Automation Congress (CAC).

[16]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Jitendra Malik,et al.  Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.