ICCV2013 录用论文（目标跟踪相关部分）

目前（截止9月11日晚）官网上只有录用论文的ID，但是在Kyros Kutulakos主页上放出了所有收录论文的title和作者。

现在只待各作者主页上放出draft了。

以下将列出视觉跟踪方面的收录的几篇论文（以下大多只列出第一作者，这种字体的是Oral）：

 

单目标(表观模型)：

1. Seunghoon Hong, Bohyung Han. Orderless Tracking through Model-Averaged Density Estimation. （Offline tracking?和一般的object tracking还是不一样的。 CVPR12上也有篇Orderless Tracking, 不过是online tracking）

2. Zhibin Hong, Xue Mei, Dacheng Tao. Tracking via Robust Multi-Task Multi-View Joint Sparse Representation. （稀疏表示）

3. Naiyan Wang.Online Robust Non-negative Dictionary Learning for Visual Tracking.

4. Jin Gao. Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement. （Tensor，中科院的强项来了）

5. Kwang Yi. Initialization-Insensitive Visual Tracking Through Voting with Salient Local Features.

6. Junliang Xing. Robust Object Tracking with Online Multi-lifespan Dictionary Learning.

7. Dapeng Che. Constructing Adaptive Complex Cells for Robust Visual Tracking.

8. Qinxun Bai.Randomized Ensemble Tracking. （草草看了一下，作者在线学习了弱分类器的权重系数，目标用了分块提取的直方图特征。）

9. Stefan Duffner. PixelTrack: a fast adaptive algorithm for tracking non-rigid objects.

10. Martin Schiegg. Conservation Tracking. 

 

多目标(关联跟踪)：

1. Caglayan Dicle. The Way They Move: Tracking Multiple Targets with Similar Appearance.

2. Baoyuan Wu. Simultaneous Clustering and Tracklet Linking for Multi-Face Tracking in Videos.

3. Siyu Tang. Learning People Detectors for Tracking in Crowded Scenes. (Tracking failure, occlusion pattern)

4. Chetan Arora. Higher Order Matching for Consistent Multiple Target Tracking.

5. Aleksandr Segal, Ian Reid. Latent Data Association: Bayesian Model Selection for Multitarget Tracking.

跟踪算法评价：

1. YU PANG, Haibin Ling.Finding the Best from the Second Bests -- Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms.

 

从收录论文来看可见几种趋势，在RGB-D图像上的跟踪开始增多（上文没有列出），扫了一眼收录论文至少有3篇。基于Dictionary Learning的有2篇录用，从子空间（PCA）到sparse-coding-based tracking（L1）再到到Dictionary Learning-based tracking这个过程也相当的清晰了。至于多目标跟踪，需要多多学习了。

*以上对单/多目标的分类仅从论文题目上判断。

 

其他感兴趣的工作（陆续发现中）：

1. Michael Gygli, Helmut Grabner.The Interestingness of Images.

2. Hamed Kiani galoogahi,Terence Sim,Simon Lucey.Multi-Channel Correlation Filters.

3. Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba. HOGgles: Visualizing Object Detection Features. (from MIT, demo可以把图像的HoG特征可视化，cool!)

4. Rui Zhao, Wanli Ouyang, Xiaogang Wang. Person Re-identification by Salience Matching. (Re-Id, from CUHK)

5. Weilin Huang,  Zhe Lin,Jianchao Yang, Jue Wang.Text Localization in Natural Images using Stroke Feature Transform and Text Covariance Descriptors. (byAdobe<人家叫阿逗比，不是阿逗巴>, 笔画变换+Cov描述子)

6. Javier Marin, David Vazquez, Jaume Amores, Antonio Lopez, Bastian Leibe.Random Forests of Local Experts for Pedestrian Detection. (随机森林, 行人检测)

7. Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han. Simultaneous Segmentation and Pose Tracking in Moving Camera.

8. Li Peihua, Lei Zhang, and et al. Log-Euclidean Kernels for Sparse Representation and Dictionary Learning.

9. Piotr Dollar, Larry Zitnick. Structured Forests for Fast Edge Detection. （用RF做low-level图像处理的工作?我又out了）

10. Danhang Tang, T-K. Kim. Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests.