Paper
14 February 2015 Classification of similar but differently paced activities in the KTH dataset
Shreeya Sengupta, Hui Wang, Piyush Ojha, William Blackburn
Author Affiliations +
Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944519 (2015) https://doi.org/10.1117/12.2180570
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
Abstract
The KTH video dataset [1] contains three activities - walking, jogging and running - which are very similar but are carried out at a different natural pace. We show that explicit inclusion of a feature which may be interpreted as a measure of the overall state of motion in a frame improves a classifier's ability to discriminate between these activities.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shreeya Sengupta, Hui Wang, Piyush Ojha, and William Blackburn "Classification of similar but differently paced activities in the KTH dataset", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944519 (14 February 2015); https://doi.org/10.1117/12.2180570
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KEYWORDS
Video

Motion measurement

Sensors

Optical flow

Feature extraction

Cameras

Matrices

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