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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Ali, S., Basharat, A. & Shah, M. Chaotic invariants for human action recognition 2007 IEEE CVPR  article  
    Review: generating these trajectories: a semi-supervised joint detection and tracking approach

    trajectory -> embedding -> invariants (e.g. Lyapunov exp, correlation int, etc.) as feature vector

    BibTeX:
    @article{ali2007cih,
      author = {Ali, S. and Basharat, A. and Shah, M.},
      title = {Chaotic invariants for human action recognition},
      journal = {IEEE CVPR},
      year = {2007}
    }
    
    An, S., Peursum, P., Liu, W. & Venkatesh, S. Efficient Algorithms for Subwindow Search in Object Detection and Localization 2009 CVPR  article  
    Review: Improve 2D branch-and-bound worst case from n^4 to n^3 by using 1D vector max sum
    BibTeX:
    @article{action-2d-bb-search-cvpr09,
      author = {Senjian An and Patrick Peursum and Wanquan Liu and Svetha Venkatesh},
      title = {Efficient Algorithms for Subwindow Search in Object Detection and Localization},
      journal = {CVPR},
      year = {2009}
    }
    
    Basharat, A., Gritai, A. & Shah, M. Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection 2008 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{trajectory-survillence-shah-cvpr08,
      author = {Arslan Basharat, and Alexei Gritai, and Mubarak Shah},
      title = {Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Blank, M., Gorelick, L., Shechtman, E., Irani, M. & Basri, R. Actions as Space-Time Shapes 2005 IEEE Conference on Computer Vision, pp. 1395-1402  article  
    BibTeX:
    @article{action-irani-spacetime-shape-iccv05,
      author = {Moshe Blank and Lena Gorelick and Eli Shechtman and Michal Irani and Ronen Basri},
      title = {Actions as Space-Time Shapes},
      journal = {IEEE Conference on Computer Vision},
      year = {2005},
      pages = {1395-1402}
    }
    
    Bobick, A. & Davis, J. The Recognition of Human Movement Using Temporal Templates 2001 IEEE Trans. Pattern Analysis and Machine Intelligence  article  
    BibTeX:
    @article{action-mhi-pami01,
      author = {Bobick, A.F. and Davis, J.W.},
      title = {The Recognition of Human Movement Using Temporal Templates},
      journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
      year = {2001}
    }
    
    Boiman, O. & Irani, M. Detecting irregularities in images and in video 2005 IEEE Conf. on International Conf. Computer Vision, pp. 462-469  article  
    BibTeX:
    @article{action-Irani-irregular-iccv05,
      author = {Oren Boiman and Michal Irani},
      title = {Detecting irregularities in images and in video},
      journal = {IEEE Conf. on International Conf. Computer Vision},
      year = {2005},
      pages = {462-469}
    }
    
    Schuldt, C., Laptev, I. & Caputo, B. Recognizing human actions: A local svm approach 2004 International Conf. on Pattern Recognition  article  
    BibTeX:
    @article{action-Laptev-icpr04,
      author = {C. Schuldt, and I. Laptev, and B. Caputo},
      title = {Recognizing human actions: A local svm approach},
      journal = {International Conf. on Pattern Recognition},
      year = {2004}
    }
    
    Chaudhry, R., Ravichandran, A., Hager, G. & Vidal, R. Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions 2009 CVPR  article  
    Review: HOOF, (similar to HOF?)

    Evaluated on Weizmann dataset.

    BibTeX:
    @article{action-oriented-opticalflow-cvpr09,
      author = {Rizwan Chaudhry and Avinash Ravichandran and Gregory Hager and Rene Vidal },
      title = {Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions},
      journal = {CVPR},
      year = {2009}
    }
    
    Cuntoor, N. Morse Functions for Activity Classification Using Spatiotemporal Volumes 2006 Computer Vision and Pattern Recognition Workshop, 2006 Conference on, pp. 20-20  conference  
    BibTeX:
    @conference{action-morse-func-cvprw06,
      author = {Cuntoor, NP},
      title = {Morse Functions for Activity Classification Using Spatiotemporal Volumes},
      booktitle = {Computer Vision and Pattern Recognition Workshop, 2006 Conference on},
      year = {2006},
      pages = {20--20}
    }
    
    Cuntoor, N. & Chellappa, R. Epitomic representation of human activities 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR'07, pp. 1-8  conference  
    BibTeX:
    @conference{action-epitomic-cvpr07,
      author = {Cuntoor, NP and Chellappa, R.},
      title = {Epitomic representation of human activities},
      booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR'07},
      year = {2007},
      pages = {1--8}
    }
    
    Forsyth, D., Okan Arikan, L.I., O'Brien, J. & Ramanan, D. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis 2006 Foundations and Trends in Computer Graphics and Vision  article  
    BibTeX:
    @article{action-forsyth-cvfoundation06,
      author = {David Forsyth, and Okan Arikan, Leslie Ikemoto, and James O'Brien, and Deva Ramanan},
      title = {Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis},
      journal = {Foundations and Trends in Computer Graphics and Vision},
      year = {2006}
    }
    
    Davis, J. & Bobick, A. The representation and recognition of human movement using temporal templates 1997 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-mhi-cvpr97,
      author = {Davis, J. and A. Bobick},
      title = {The representation and recognition of human movement using temporal templates},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {1997}
    }
    
    Dollár, P., Rabaud, V., Cottrell, G. & Belongie, S. Behavior Recognition via Sparse Spatio-Temporal Features 2005 IEEE International Workshop on VS-PETS  article  
    BibTeX:
    @article{action-dollar-iccv05,
      author = {P. Dollár and V. Rabaud and G. Cottrell and S. Belongie},
      title = {Behavior Recognition via Sparse Spatio-Temporal Features},
      journal = {IEEE International Workshop on VS-PETS},
      year = {2005}
    }
    
    Efros, A., Berg, A., Mori, G. & Malik, J. Recognizing action at a distance 2003 IEEE International Conference on Computer Vision, pp. 726-733  article  
    BibTeX:
    @article{action-efros-iccv03,
      author = {Efros, AA and Berg, AC and Mori, G. and Malik, J.},
      title = {Recognizing action at a distance},
      journal = {IEEE International Conference on Computer Vision},
      year = {2003},
      pages = {726--733}
    }
    
    Fathi, A. & Mori, G. Action Recognition by Learning Mid-level Motion Features 2008 IEEE Conference on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-mori-cvpr08,
      author = {A. Fathi and G. Mori},
      title = {Action Recognition by Learning Mid-level Motion Features},
      journal = {IEEE Conference on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Ikizler, N. & Forsyth, D. Searching video for complex activities with finite state models 2007 IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1-8  article  
    BibTeX:
    @article{action-forsyth-cvpr07,
      author = {N. Ikizler and D. Forsyth},
      title = {Searching video for complex activities with finite state models},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2007},
      pages = {1-8}
    }
    
    Niebles, J., Wang, H. & Fei-Fei, L. Unsupervised learning of human action categories using spatial-temporal words 2006 British Machine Vision Conference  article  
    BibTeX:
    @article{action-feifei-bmvc06,
      author = {J. Niebles, and H. Wang, and L. Fei-Fei},
      title = {Unsupervised learning of human action categories using spatial-temporal words},
      journal = {British Machine Vision Conference},
      year = {2006}
    }
    
    Jhuang, H., Serre, T., Wolf, L. & Poggio, T. A Biologically Inspired System for Action Recognition 2007 IEEE International Conference on Computer Vision  article  
    BibTeX:
    @article{action-Poggio-iccv07,
      author = {Hueihan Jhuang and Thomas Serre and Lior Wolf and Tomaso Poggio},
      title = {A Biologically Inspired System for Action Recognition},
      journal = {IEEE International Conference on Computer Vision},
      year = {2007}
    }
    
    Liu, J., Luo, J. & Shah, M. Recognizing Realistic Actions from Videos "in the Wild" 2009 IEEE International Conference on Computer Vision and Pattern Recognition  article URL 
    Review: both motion and static features from the videos.

    strategies to prune these features

    1. use motion statistics to acquire stable motion features and clean static features.

    2. PageRank is used to mine the most informative static features.

    3. a divisive information-theoretic algorithm is employed to group semantically related features.

    4. AdaBoost is chosen to integrate all the heterogeneous yet complementary features for recognition.

    Accuracy on KTH: 82.3%, 87.1% and 91.8% for motion, sift, and hybrid features

    accuracy on Youtube: 71.2%

    BibTeX:
    @article{action-jingen-wild,
      author = {Jingen Liu, and Jiebo Luo and Mubarak Shah},
      title = {Recognizing Realistic Actions from Videos "in the Wild"},
      journal = {IEEE International Conference on Computer Vision and Pattern Recognition},
      year = {2009},
      url = {http://server.cs.ucf.edu/~vision/projects/liujg/realistic_action_recognition.html}
    }
    
    Liu, J., Ali, S. & Shah, M. Recognizing Human Actions Using Multiple Features 2008 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-jingen-multi-fea-cvpr08,
      author = {Jingen Liu, and Saad Ali, and Mubarak Shah},
      title = {Recognizing Human Actions Using Multiple Features},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Sun, J., Wu, X., Yan, S., Cheong, L.-F., Chua, T.-S. & Li, J. Hierarchical Spatio-Temporal Context Modeling for Action Recognition 2009 CVPR  article  
    Review: three levels of context:

    1) point-level context (SIFT average descriptor),

    2) intra-trajectory context (trajectory transition descriptor),

    3) inter-trajectory context (trajectory proximity descriptor).

    encode the spatiotemporal context information into the transition matrix of a Markov process, and then extract its stationary distribution as the final context descriptor.

    Classifier the multichannel nonlinear SVMs and MKL

    27% and 66% relative performance improvements over HOHA (Laptev action) and LSCOM (HK, trecvid event)

    BibTeX:
    @article{action-shuicheng-hiearchical-cvpr09,
      author = {Ju Sun, and Xiao Wu, and Shuicheng Yan, and Loong-Fah Cheong, and Tat-Seng Chua and Jintao Li},
      title = {Hierarchical Spatio-Temporal Context Modeling for Action Recognition},
      journal = {CVPR},
      year = {2009}
    }
    
    Yuan, J., Liu, Z. & Wu, Y. Discriminative 3D Subvolume Search for Efficient Action Detection 2009 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    Review: mutual information based scoring: refer to Irani's NN paper

    Branch-bound in 3D

    BibTeX:
    @article{action-junsong-cvpr09,
      author = {Junsong Yuan, and Zicheng Liu and Ying Wu},
      title = {Discriminative 3D Subvolume Search for Efficient Action Detection},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2009}
    }
    
    Kim, K., Chalidabhongse, T.H., Harwood, D. & Davis, L. Real-time foreground-background segmentation using code-book model 2005 RealTime Imgage
    Vol. 11(3), pp. 172-185 
    article  
    BibTeX:
    @article{backgroun-substraction-davis-05,
      author = {K. Kim, and T. H. Chalidabhongse, and D. Harwood, and L.S. Davis},
      title = {Real-time foreground-background segmentation using code-book model},
      journal = {RealTime Imgage},
      year = {2005},
      volume = {11},
      number = {3},
      pages = {172-185}
    }
    
    Ke, Y., Sukthankar, R. & Hebert, M. Event Detection in Crowded Videos 2007 IEEE International Conference on Computer Vision  article  
    BibTeX:
    @article{action-YanKe-iccv07,
      author = {Yan Ke and Rahul Sukthankar and Martial Hebert},
      title = {Event Detection in Crowded Videos},
      journal = {IEEE International Conference on Computer Vision},
      year = {2007}
    }
    
    Klaser, A., Marszałek, M., Schmid, C., Grenoble, I. & LEAR, L. A spatio-temporal descriptor based on 3D-gradients 2008 Proceedings of the British Machine Vision Conference, pp. 995-1004  article URL 
    Review: 3D gradients: a memory-efficient algorithm based on integral videos.

    3D orientation quantization based on regular polyhedrons

    91.4% on KTH

    84.3% on Weizman

    24.7% on Hollywood

    BibTeX:
    @article{action-3ddescriptor-bmvc-08,
      author = {Klaser, A. and Marszałek, M. and Schmid, C. and Grenoble, I. and LEAR, LJK},
      title = {A spatio-temporal descriptor based on 3D-gradients},
      journal = {Proceedings of the British Machine Vision Conference},
      year = {2008},
      pages = {995--1004},
      url = {http://lear.inrialpes.fr/people/klaeser/software}
    }
    
    Laptev, I. & Lindeberg, T. Velocity adaptation of space-time interest points 2004 International Conference on Pattern Recognition  conference  
    BibTeX:
    @conference{kth-icpr04,
      author = {Laptev, I. and Lindeberg, T.},
      title = {Velocity adaptation of space-time interest points},
      journal = {International Conference on Pattern Recognition},
      year = {2004}
    }
    
    Laptev, I. & Lindeberg, T. Space-Time Interest Points 2003 IEEE Conference on Computer Vision, pp. 432-439  article  
    BibTeX:
    @article{action-Laptev-iccv03,
      author = {I. Laptev and T. Lindeberg},
      title = {Space-Time Interest Points},
      journal = {IEEE Conference on Computer Vision},
      year = {2003},
      pages = {432-439}
    }
    
    Laptev, I., Marszalek, M., Schmid, C. & Rozenfeld, B. Learning realistic human actions from movies 2008 IEEE Conference on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-Laptev-cvpr08,
      author = {I. Laptev and M. Marszalek and C. Schmid and B. Rozenfeld},
      title = {Learning realistic human actions from movies},
      journal = {IEEE Conference on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Laptev, I. & Pérez, P. Retrieving actions in movies 2007 IEEE International Conference on Computer Vision  article  
    BibTeX:
    @article{action-Laptev-iccv07,
      author = {Ivan Laptev and Patrick Pérez},
      title = {Retrieving actions in movies},
      journal = {IEEE International Conference on Computer Vision},
      year = {2007}
    }
    
    Marszalek, M., Laptev, I. & Schmid, C. Actions in context 2009 IEEE Conf. Computer Vision and Pattern Recog  article  
    Review: Our visual models for scenes and actions are formulated within the bag-of-features framework.

    a joint scene-action SVM-based classifier.

    twelve action classes and ten scene classes from 69 movies

    BibTeX:
    @article{Laptev09a,
      author = {Marszalek, M. and Laptev, I. and Schmid, C.},
      title = {Actions in context},
      journal = {IEEE Conf. Computer Vision and Pattern Recog},
      year = {2009}
    }
    
    Bregonzio, M., Gong, S. & Xiang, T. Recognising Action as Clouds of Space-Time Interest Points 2009 CVPR  article  
    Review: KTH: 93.17 (leave-one -out test), WEIZMANN: 96.66%
    BibTeX:
    @article{action-cloud-stips-cvpr09,
      author = {Matteo Bregonzio, and Shaogang Gong and Tao Xiang},
      title = {Recognising Action as Clouds of Space-Time Interest Points},
      journal = {CVPR},
      year = {2009}
    }
    
    Rodriguez, M.D., Ahmed, J. & Shah, M. Action MACH: A Spatio-temporal Maximum Average Correlation Height Filter for Action Recognition 2008 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-shah-action-mach-cvpr08,
      author = {Mikel D. Rodriguez, and Javed Ahmed, and Mubarak Shah},
      title = {Action MACH: A Spatio-temporal Maximum Average Correlation Height Filter for Action Recognition},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Dalai, N. & Triggs, B. Histograms of oriented gradients for human detection 2006 IEEE Conf. on Computer Vision and Pattern Recognition, pp. 886- 893  article  
    BibTeX:
    @article{hog-triggs-cvpr06,
      author = {N. Dalai, and B. Triggs},
      title = {Histograms of oriented gradients for human detection},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2006},
      pages = {886- 893}
    }
    
    Hamid, R., Maddi, S., Bobick, A. & Essa, I. Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees 2007 IEEE International Conference on Computer Vision  article  
    BibTeX:
    @article{action-structureStat-iccv07,
      author = {Raffay Hamid, and Siddhartha Maddi, and Aaron Bobick, and Irfan Essa},
      title = {Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees},
      journal = {IEEE International Conference on Computer Vision},
      year = {2007}
    }
    
    Rapantzikos, K., Avrithis, Y. & Kollias, S. Dense saliency-based spatiotemporal feature points for action recognition 2009 CVPR  article  
    Review: A new interest point detector based on a saliency map, use HOG as descriptor

    KTH: 88.30% using NN classification

    HOHA dataset

    BibTeX:
    @article{action-dense-salieny-points-cvpr09,
      author = {Konstantinos Rapantzikos and Yannis Avrithis and Stefanos Kollias},
      title = {Dense saliency-based spatiotemporal feature points for action recognition},
      journal = {CVPR},
      year = {2009}
    }
    
    Seo, H. & Milanfar, P. Detection of Human Actions from a Single Example 2009 ICCV  article  
    Review: the covariance feature seems to be powerful. However, the title 'single example' seems to be misleading.

    The computational cost might be improved.

    BibTeX:
    @article{action-detection-via-single-example-iccv09,
      author = {Seo, H.J. and Milanfar, P.},
      title = {Detection of Human Actions from a Single Example},
      journal = {ICCV},
      year = {2009}
    }
    
    Wong, S.-F., Kim, T.-K. & Cipolla, R. Learning Motion Categories Using Both Semantic and Structural Information 2007 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{action-cipolla-cvpr07,
      author = {Shu-Fai Wong, and Tae-Kyun Kim and Roberto Cipolla},
      title = {Learning Motion Categories Using Both Semantic and Structural Information},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2007}
    }
    
    Wang, Y. & Mori, G. Human action recognition by semi-latent topic models 2009 PAMI
    Vol. 31(10), pp. 1762-1774 
    article  
    Review: representation: each frame corresponds to a ``word''

    model:

    - the latent topics in our models directly correspond to class labels;

    - trained in a supervised fashion

    dataset:

    - new ballet

    - KTH dataset, (91.2%)

    - Weizmann dataset,

    - soccer dataset,

    - hockey dataset.

    BibTeX:
    @article{wang2009human,
      author = {Wang, Y. and Mori, G.},
      title = {Human action recognition by semi-latent topic models},
      journal = {PAMI},
      year = {2009},
      volume = {31},
      number = {10},
      pages = {1762--1774}
    }
    
    Wu, J., Osuntogun, A., Choudhury, T., Philipose, M. & Rehg, J. A Scalable Approach to Activity Recognition based on Object Use 2007 IEEE Conference on Computer Vision, pp. 1-8  conference  
    BibTeX:
    @conference{action-wu-iccv07,
      author = {Wu, J. and Osuntogun, A. and Choudhury, T. and Philipose, M. and Rehg, J.M.},
      title = {A Scalable Approach to Activity Recognition based on Object Use},
      journal = {IEEE Conference on Computer Vision},
      year = {2007},
      pages = {1--8}
    }
    
    Wang, X., Ma, K.T., Ng, G. & Grimson, E. Trajectory Analysis and Semantic Region Modeling Using A Nonparametric Bayesian Model 2008 IEEE Conf. on Computer Vision and Pattern Recognition  article  
    BibTeX:
    @article{trajectory-xiaogang-cvpr08,
      author = {X. Wang, and K. T. Ma, and G. Ng, and E. Grimson},
      title = {Trajectory Analysis and Semantic Region Modeling Using A Nonparametric Bayesian Model},
      journal = {IEEE Conf. on Computer Vision and Pattern Recognition},
      year = {2008}
    }
    
    Song, Y., Goncalves, L. & Perona, P. Unsupervised learning of human motion 2005 IEEE Trans. Pattern Analysis and Machine Intelligence
    Vol. 25, pp. 1-14 
    article  
    BibTeX:
    @article{action-perona-pami05,
      author = {Y. Song, and L. Goncalves, and P. Perona},
      title = {Unsupervised learning of human motion},
      journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
      year = {2005},
      volume = {25},
      pages = {1-14}
    }
    
    Y.Hu, Cao, L., F.Lv, S.Yan, Y.Gong & T.S.Huang Action Detection in Complex Scenes with Spatial and Temporal Ambiguities 2009 ICCV  article  
    Review: multiple instance learning for real application (retailer supermarket)
    BibTeX:
    @article{action-yuxiao-iccv09,
      author = {Y.Hu and L. Cao and F.Lv and S.Yan and Y.Gong and T.S.Huang},
      title = {Action Detection in Complex Scenes with Spatial and Temporal Ambiguities},
      journal = {ICCV},
      year = {2009}
    }
    
    Yao, B. & Zhu, S. Learning Deformable Action Templates from Cluttered Videos 2009 ICCV  article  
    Review: elegent formulation of action template. developped based on Y. Wu et al's active base model (ICCV'2007)
    BibTeX:
    @article{yao-learning,
      author = {Yao, B. and Zhu, S.C},
      title = {Learning Deformable Action Templates from Cluttered Videos},
      journal = {ICCV},
      year = {2009}
    }
    
    Zelnik-Manor, L. & Irani, M. Statistical Analysis of Dynamic Actions 2006 IEEE Trans. Pattern Analysis and Machine Intelligence
    Vol. 28(9), pp. 1530-1535 
    article  
    BibTeX:
    @article{action-ZelnikManor-pami06,
      author = {Zelnik-Manor, L. and Irani, M.},
      title = {Statistical Analysis of Dynamic Actions},
      journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
      year = {2006},
      volume = {28},
      number = {9},
      pages = {1530--1535}
    }
    
    Zelnik-Manor, L. & Irani, M. Event-based analysis of video 2001 IEEE Conference on Computer Vision and Pattern Recognition  inproceedings  
    BibTeX:
    @inproceedings{action-irani-cvpr01,
      author = {L. Zelnik-Manor and M. Irani},
      title = {Event-based analysis of video},
      journal = {IEEE Conference on Computer Vision and Pattern Recognition},
      year = {2001}
    }
    

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