Video quality evaluation toward complicated sport activities for clustering analysis

[1]  Limin Wang,et al.  Action recognition with trajectory-pooled deep-convolutional descriptors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Mohiuddin Ahmad,et al.  Variable silhouette energy image representations for recognizing human actions , 2010, Image Vis. Comput..

[3]  Hafiz Imtiaz,et al.  An optical flow based approach for action recognition , 2011, 14th International Conference on Computer and Information Technology (ICCIT 2011).

[4]  Ankur Agarwal,et al.  Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Hai-Yan Zhang,et al.  Multiple moving objects detection and tracking based on optical flow in polar-log images , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[6]  Nicholas R. Howe,et al.  Silhouette lookup for monocular 3D pose tracking , 2007, Image Vis. Comput..

[7]  Yi Yang,et al.  DevNet: A Deep Event Network for multimedia event detection and evidence recounting , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Daniel Cremers,et al.  Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Jia Liu,et al.  Recognizing human action and identity based on affine-SIFT , 2012, 2012 IEEE Symposium on Electrical & Electronics Engineering (EEESYM).

[10]  Mubarak Shah,et al.  Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Kenji Murakami,et al.  Tracking of a Moving Object Using One-Dimensional Optical Flow with a Rotating Observer , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.