1. Accelerated local feature extraction in a reuse scheme for efficient action recognition
- Author
-
Jia-Lin Chen, Liang-Gee Chen, Zhi-Yi Lin, and Yi-Chen Wan
- Subjects
Scheme (programming language) ,020203 distributed computing ,Computer science ,business.industry ,Frame (networking) ,Feature extraction ,Detector ,Kanade–Lucas–Tomasi feature tracker ,Pattern recognition ,02 engineering and technology ,Reuse ,Feature (computer vision) ,Histogram ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,computer.programming_language - Abstract
In this paper, we propose an accelerated local feature extraction in a reuse scheme for action recognition. Most local features of the previous frame could be reused due to the high correlation between successive frames. Feature extraction is only needed to be applied partially in the current frame. The full-frame features of the current frame are combined by features extracted at different times. Experimental results show that the proposed reuse scheme can achieve comparable performance to full-frame feature extraction while computational effort is reduced significantly.
- Published
- 2016