Real-time Activity Repetition Detection
| Authors | Markus Murschitz, Mauthner Thomas, Roth Peter M., Horst Bischof |
|---|---|
| Appeared in | 17th Computer Vision Winter Workshop |
| Date | 2012 |
| Abstract | In this work, we address the problem of real-time action recognition from video streams, in particular exploiting the information given by repetitive actions. Adapting the SPRING algorithm, a sequential variant of dynamic time warping (DTW), not only single frames can be classified but also repetitions of actions can be recognized. These particular benefits are demonstrated for two different publicly available datasets, showing promising results. Moreover, since we apply efficient GPU implementations for visual features and the classifier, we can ensure real-time capability, even using low cost consumer hardware. Thus, the system can also be applied in practical setups, e.g., for human computer interaction. |
| Link | paper data |
