Statistics of pairwise co-occurring local spatio-temporal features for human action recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Gesture recognition using depth images
Proceedings of the 15th ACM on International conference on multimodal interaction
A survey of human motion analysis using depth imagery
Pattern Recognition Letters
A template matching approach of one-shot-learning gesture recognition
Pattern Recognition Letters
Efficient and robust multi-template tracking using multi-start interactive hybrid search
Computer Vision and Image Understanding
Hi-index | 0.00 |
The motion history image (MHI) approach is a view-based temporal template method which is simple but robust in representing movements and is widely employed by various research groups for action recognition, motion analysis and other related applications. In this paper, we provide an overview of MHI-based human motion recognition techniques and applications. Since the inception of the MHI template for motion representation, various approaches have been adopted to improve this basic MHI technique. We present all important variants of the MHI method. This paper points some areas for further research based on the MHI method and its variants.