Human Action Recognition Using Optical Flow Accumulated Local Histograms
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Human action recognition using ordinal measure of accumulated motion
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Cue integration through discriminative accumulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Hi-index | 0.00 |
This paper presents a user recognition system, using face, height, and clothes color features under the special assumption that is a user is monitored and tracked. In real human-robot interaction situation, all information cannot be provided at the same time and some parts of frames in a video have no clues at all. In the proposed system, tracking is an important feature to recognize a user because data in the previous frames can be utilized. We propose an information update method that efficiently updates similarity results. This system is tested using the movie clips acquired under the unconstrained environment including illumination variation, several distance from a camera to the user, and various view types of human body.