S. Maheswari and P. Arockia Jansi Rani
Human Action Recognition System Based on Silhouette
2390 - 2394
2015
9
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10004913
https://publications.waset.org/vol/107
World Academy of Science, Engineering and Technology
Human action is recognized directly from the video sequences. The objective of this work is to recognize various human actions like run, jump, walk etc. Human action recognition requires some prior knowledge about actions namely, the motion estimation, foreground and background estimation. Region of interest (ROI) is extracted to identify the human in the frame. Then, optical flow technique is used to extract the motion vectors. Using the extracted features similarity measure based classification is done to recognize the action. From experimentations upon the Weizmann database, it is found that the proposed method offers a high accuracy.
Open Science Index 107, 2015