Human action recognition using star skeleton
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Descriptive temporal template features for visual motion recognition
Pattern Recognition Letters
Robust temporal activity templates using higher order statistics
IEEE Transactions on Image Processing
Slip and fall event detection using Bayesian Belief Network
Pattern Recognition
Human action classification using SVM_2K classifier on motion features
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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
Human typical action recognition using gray scale image of silhouette sequence
Computers and Electrical Engineering
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This paper proposes an efficient technique for human motion recognition based on motion history images and an eigenspace technique. In recent years, human motion recognition has become one of the most popular research fields. It is expected to be applied in a security system, man-machine communication, and so on. In the proposed technique, we use two feature images and the eigenspace technique to realize high-speed recognition. An experiment was performed on recognizing six human motions and the results showed satisfactory performance of the technique.