Foreground Detection in Surveillance Video with Fully Convolutional Semantic Network
暂无分享,去创建一个
Weimin Tan | Bo Yan | Chuming Lin | Bo Yan | Weimin Tan | Chuming Lin
[1] Guillaume-Alexandre Bilodeau,et al. SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity , 2015, IEEE Transactions on Image Processing.
[2] Yael Pritch,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008 1 Non-Chronological Video , 2022 .
[3] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[4] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[5] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[6] Zhiming Luo,et al. Interactive deep learning method for segmenting moving objects , 2017, Pattern Recognit. Lett..
[7] Fatih Murat Porikli,et al. CDnet 2014: An Expanded Change Detection Benchmark Dataset , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[8] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[9] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Marc Van Droogenbroeck,et al. Deep background subtraction with scene-specific convolutional neural networks , 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).
[11] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[12] Anil K. Jain,et al. A background model initialization algorithm for video surveillance , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[13] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[14] Guillaume-Alexandre Bilodeau,et al. A Self-Adjusting Approach to Change Detection Based on Background Word Consensus , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[15] Eduardo A. B. da Silva,et al. Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks , 2017 .
[16] Larry S. Davis,et al. Non-parametric Model for Background Subtraction , 2000, ECCV.