[PDF] academia.edu

[PDF][PDF] Using discrete cosine transform based features for human action recognition

T Ahmad, J Rafique, H Muazzam… - Journal of Image and …, 2015 - academia.edu
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …
被引用次数：39 相关文章
[PDF] academia.edu

[PDF][PDF] Using Discrete Cosine Transform Based Features for Human Action Recognition

T Ahmad, J Rafique, H Muazzam… - Journal of Image and …, 2015 - academia.edu
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …

Using Discrete Cosine Transform based Features for Human Action Recognition

T Ahmad, J Rafique, H Muazzam, S Rizvi - JOURNAL OF IMAGE AND …, 2015 - iris.polito.it
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …
[PDF] archive.org

[PDF][PDF] Using Discrete Cosine Transform Based Features for Human Action Recognition

T Ahmad, J Rafique, H Muazzam… - Journal of Image and …, 2015 - scholar.archive.org
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …
[PDF] psu.edu

[PDF][PDF] Using Discrete Cosine Transform Based Features for Human Action Recognition

T Ahmad, J Rafique, H Muazzam, T Rizvi - Journal of Image and Graphics, 2015 - Citeseer
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …
[PDF] joig.net

[PDF][PDF] Using Discrete Cosine Transform Based Features for Human Action Recognition

T Ahmad, J Rafique, H Muazzam, T Rizvi - Journal of Image and Graphics, 2015 - joig.net
Recognizing human action in complex video sequences has always been challenging for
researchers due to articulated movements, occlusion, background clutter, and illumination …