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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Derpanis, K.G. Sizintsev, M. Cannons, K. Wildes, R.P. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada (Derpanis, K.G.; Sizintsev, M.; Cannons, K.; Wildes, R.P.) |
| Abstract | This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of action spotting is introduced based on visual spacetime oriented energy measurements. This descriptor is efficiently computed directly from raw image intensity data and thereby forgoes the problems typically associated with flow-based features. An important aspect of the descriptor is that it allows for the comparison of the underlying dynamics of two spacetime video segments irrespective of spatial appearance, such as differences induced by clothing, and with robustness to clutter. An associated similarity measure is introduced that admits efficient exhaustive search for an action template across candidate video sequences. Empirical evaluation of the approach on a set of challenging natural videos suggests its efficacy. |
| Starting Page | 1990 |
| Ending Page | 1997 |
| File Size | 653667 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539874 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spatiotemporal phenomena Humans Robustness Clothing Distributed databases Legged locomotion Tracking Feature extraction Computer science Power engineering and energy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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