Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust recognition using eigenimages
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Separating Style and Content with Bilinear Models
Neural Computation
Behavior monitoring through automatic analysis of video sequences
Proceedings of the 6th ACM international conference on Image and video retrieval
A macro-observation scheme for abnormal event detection in daily-life video sequences
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A novel human motion recognition method based on eigenspace
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
A compound eigenspace for recognizing directed human activities
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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This paper describes a method for representing and/or recognizing human motion using an eigenspace analysis, referred to a tuned eigenspace, that is responsible for storing various human motions in terms of their sequential postures in an eigenspace and for recognizing unfamiliar posture and/or motion from the tuned eigenspace. We have also analyzed human dress texture problem, caused by wearing clothes, in the proposed method. The performed experiments include representation and recognition of (i) 6 actions of a cricket umpire played by 22 persons wearing respective dresses, and (ii) a turning motion given by a particular person wearing 10 typical clothes. The experimental results show a satisfactory performance of the proposed method for representing and recognizing human posture and/or motion overcoming the dress problem.