Authors
Orit Kliper-Gross, Yaron Gurovich, Tal Hassner, Lior Wolf
Publication date
2012/10
Conference
European Conference on Computer Vision (ECCV)
Description
Action Recognition in videos is an active research field that is fueled by an acute need, spanning several application domains. Still, existing systems fall short of the applications’ needs in real-world scenarios, where the quality of the video is less than optimal and the viewpoint is uncontrolled and often not static. In this paper, we consider the key elements of motion encoding and focus on capturing local changes in motion directions. In addition, we decouple image edges from motion edges using a suppression mechanism, and compensate for global camera motion by using an especially fitted registration scheme. Combined with a standard bag-of-words technique, our methods achieves state-of-the-art performance in the most recent and challenging benchmarks.
Total citations
2012201320142015201620172018201920202021202220232024433424241261911133533
Scholar articles
O Kliper-Gross, Y Gurovich, T Hassner, L Wolf - Computer Vision–ECCV 2012: 12th European …, 2012
O Kliper-Gross - Wolf,“Motion interchange patterns for action recognition …, 2012