Volume 7, Issue 3, June 2014, Pages 506 - 514
Motion Key-frames extraction based on amplitude of distance characteristic curve
Qiang Zhang, Xiang Xue, Dongsheng Zhou, Xiaopeng Wei
Received 14 July 2012, Accepted 15 December 2012, Available Online 1 June 2014.
- https://doi.org/10.1080/18756891.2013.859873How to use a DOI?
- key-frames extraction, distance features, PCA, insert and merge, amplitude
- The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured sequence. First we select a group of joint distance features to represent the motion and adopt the Principal Component Analysis (PCA) method to obtain the one dimension principal component as a features curve which will be used. Then we gain the initial key-frames by extracting the local optimum points in the curve. At last, we get the final key frames by inserting frames based on the amplitude of the curve and merging key frames too close. A number of experimental examples demonstrate that our method is practicable and efficient not only in the visual performance but also in the aspect of the compression ratio and error rate.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Qiang Zhang AU - Xiang Xue AU - Dongsheng Zhou AU - Xiaopeng Wei PY - 2014 DA - 2014/06 TI - Motion Key-frames extraction based on amplitude of distance characteristic curve JO - International Journal of Computational Intelligence Systems SP - 506 EP - 514 VL - 7 IS - 3 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.859873 DO - https://doi.org/10.1080/18756891.2013.859873 ID - Zhang2014 ER -