Digital Image Processing
Gait Appearance for Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Recognition of Human Motion From Qualitative Normalised Templates
Journal of Intelligent and Robotic Systems
Computer Vision and Image Understanding
Zernike velocity moments for sequence-based description of moving features
Image and Vision Computing
Using Gaussian processes for human tracking and action classification
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Combining wavelet velocity moments and reflective symmetry for gait recognition
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
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Analysis of human activity from video sequences is one of the hottest and difficult research areas in computer visions. Because of the fact that human continuous motion can be decomposed into an image sequence based on time, state space method is applied in this paper. First, Silhouettes are extracted using the Background Subtraction method and features are represented by moment. Then a method using recursion method for establishment of the standard gait state sequence is proposed. In order to determine whether the behavior is abnormal in different scenarios, wavelet moment is used to extract features of the human body images, and then recognizes the moving human bodies activity based on Discrete Hidden Markov Model. The experiment tests show some encouraging results also indicates the algorithm has very small leak-examining and mistake-examining-rate which indicate that the method could be a choice for solving the problem but more tests are required.