Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners

Author:

Gilbert Andrew,Illingworth John,Bowden Richard

Publisher

Springer Berlin Heidelberg

Reference25 articles.

1. Schuldt, C., Laptev, I., Caputo, B.: Recognizing Human Actions: a Local SVM Approach. In: Proc. of International Conference on Pattern Recognition (ICPR 2004), vol. III, pp. 32–36 (2004)

2. Viola, P., Jones, M.: Rapid Object Detection using a Boosted Cascade of Simple Features. In: Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2001), vol. I, pp. 511–518 (2001)

3. Ke, Y., Sukthankar, R., Hebert, M.: Efficient Visual Event Detection using Volumetric Features. In: Proc. of IEEE International Conference on Computer Vision (ICCV 2005) (2005)

4. Cooper, H.M., Bowden, R.: Sign Language Recognition Using Boosted Volumetric Features. In: Proc. IAPR Conf. on Machine Vision Applications, pp. 359–362 (2007)

5. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior Recognition via Sparse Spatio-temporal Features. In: ICCCN 2005: Proceedings of the 14th International Conference on Computer Communications and Networks, pp. 65–72 (2005)

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