Human action understanding using motion verbs in wordnet

Authors:
Miyoung Cho;Dan Song;Junho Choi;Pankoo Kim
Affiliations:
Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of Computer Science, Chosun University, Gwangju, Korea;Dept. of CSE, Chosun University, Korea
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 4
Cited 0

Human Activity Recognition Using Multidimensional Indexing

IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Sequence Interpretation for Visual Surveillance

VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Scene Recognition Based on Relationship between Human Actions and Objects

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Video-based event recognition: activity representation and probabilistic recognition methods

Computer Vision and Image Understanding - Special issue on event detection in video

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we introduce a novel method about how to recognize the human action/activity in video using motion verbs based on WordNet. We provide a more deterministic mapping, and then we have extended WordNet with a small, fixed vocabulary of highly salient attribute for human motion description.