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Head pose estimation, though a trivial task for the human visual system, remains a challenging problem for computer vision systems. The task requires identifying the modes of image variance that directly pertain to pose changes, while generalizing across face identity and mitigating other image variances. Conventional methods such as Principal Component Analysis (PCA) fail to identify the true relationship...
Activity recognition has been applied to many varied applications ranging from surveillance to medical analysis. Interpreting human actions is often a complex problem for computer vision. Actions can be classified through shape, motion or region based algorithms. While all have their distinct advantages, we consider a feature extraction approach using convexity defects. This algorithmic approach offers...
Design of an efficient modular architecture for detection of multiple faces in video stream is presented in this paper. Face detection is the first step in many surveillance and security applications such as face recognition, face authentication for banking and security access control, monitoring and tracking, etc. The algorithm used for this hardware design is the Viola-Jones algorithm, which has...
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