目标跟踪算法汇总及其相关论文

最近老大要求调研目标跟踪的算法，做一个数据库。调研完成后顺别贴到博客，供大家参考，格式是“论文发表时间+发表会议+算法简称+相关论文”

2002-CVPR-CPF-Color-Based Probabilistic Tracking.pdf
2003-CVPR-SMS-Mean-shift Blob Tracking through Scale Space.pdf
2003-PAMI-KMS-Kernel-Based Object Tracking.pdf
2005-PAMI-VR-V-An Open Source Tracking Testbed and Evaluation Web Site.pdf
2006-BMVC-OAB-Real-Time Tracking via On-line Boosting.pdf
2006-CVPR-Frag-Robust Fragments-based Tracking using the Integral Histogram.pdf
2008-ECCV-SemiT-Semi-Supervised On-line Boosting for Robust Tracking.pdf
2008-IJCV-IVT-Incremental Learning for Robust Visual Tracking.pdf
2009-CVPR-MIL-Visual Tracking with Online Multiple Instance Learning.pdf
2009-ICCV-BSBT-Beyond Semi-Supervised Tracking Tracking Should Be as Simple as Detection, but not Simpler than Recognition.pdf
2010-CVPR-PROST-PROST Parallel Robust Online Simple Tracking.pdf
2010-CVPR-TLD-P-N Learning Bootstrapping Binary Classifiers by Structural Constraints.pdf
2010-CVPR-VTD-Visual Tracking Decomposition.pdf
2011-CVPR-CXT- Exploring supporters and distracters in unconstrained environments.pdf
2011-CVPR-LSK-Robust Tracking using Local Sparse Appearance Model and K-Selection.pdf
2011-ICCV-Struck-Struck Structured Output Tracking with Kernels.pdf
2011-ICCV-VTS-Tracking by Sampling Trackers .pdf
2012-CVPR-ASLA-Visual Tracking via Adaptive Structural Local Sparse Appearance Model.pdf
2012-CVPR-DFT-Distribution Fields for Tracking.pdf
2012-CVPR-L1APG-Real Time Robust L1 Tracker Using Accelerated Proximal Gradient Approach.pdf
2012-CVPR-LOT-Locally Orderless Tracking.pdf
2012-CVPR-MTT-Robust Visual Tracking via Multi-task Sparse Learning.pdf
2012-CVPR-ORIA-Online Robust Image Alignment via Iterative Convex Optimization.pdf
2012-CVPR-SCM-Robust Object Tracking via Sparsity-based Collaborative Model.pdf
2012-ECCV-CSK-Exploiting the Circulant Structure of Tracking-by-Detection with Kernels.pdf
2012-ECCV-CT-Real-time Compressive Tracking.pdf
2013-CVPR-LSHT-Visual Tracking via Locality Sensitive Histograms.pdf
2013-CVPR-LSS- Least Soft-thresold Squares Tracking.pdf
2013-CVPR-STC-Fast Trackingvia Spatio-Temporal Context Learning.pdf
2014-PAMI-KCF-High-Speed Tracking with Kernelized Correlation Filters..pdf
2015-CVPR-DeepSRDCF-Convolutional Features for Correlation Filter Based Visual Tracking.pdf
2015-CVPR-SRDCF-Learning Spatially Regularized Correlation Filters for Visual Tracking.pdf
2016-CVPR-MDnet-Learning Multi-Domain Convolutional Neural Networks for Visual Tracking.pdf
2016-CVPR-STCT-STCT Sequentially Training Convolutional Networks for Visual Tracking.pdf
2016-CVPR-TCNN-Modeling and Propagating CNNs in a Tree Structure for Visual Tracking.pdf
2016-ECCV-GOTURN-Learning to Track at 100 FPS with Deep Regression Networks.pdf
2016-ECCV-SiamFC -Fully-Convolutional Siamese Networks for Object Tracking.pdf

最近刚开始自学一点点python，汇总这些下好的文章列表时，顺便写了个小程序

import os
def list_dir(load_path, fp):
    for file in os.listdir(load_path): #os.listdir(path): return all the documents and subdirectories
        file_path = os.path.join(load_path, file) #os.path.join(): combine many directories  PS:join() combine arrays
        fp.write(os.path.basename(file_path) + '\n')
        print(os.path.basename(file_path)) #return file_path's basename
write_path = 'C:/Users/yongzhen/Desktop/目标跟踪算法数据库/统计.txt'
load_path = 'C:/Users/yongzhen/Desktop/目标跟踪算法数据库'
fp = open(write_path, 'w')
list_dir(load_path, fp)
fp.close()