Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental PCA or On-Line Visual Learning and Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Incremental support vector machine framework for visual sensor networks
EURASIP Journal on Applied Signal Processing
Dynamic classification for video stream using support vector machine
Applied Soft Computing
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This paper presents an online learning framework for the behaviour of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised learning is first utilised during an offline learning phase for small instances using principal component analysis (PCA); then we apply a new incremental PCA technique during an online learning phase. Rather than storing all the previous instances, our online method just keeps the eigenspace and reconstructs the space using only the new instance. We can add numerical new training instances while maintaining the reasonable dimensions. The experimental results demonstrate the feasibility and merits.