Estimation of Object Motion Parameters from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Trajectories of Feature Points in a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Motion Estimation with More than Two Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Establishing motion correspondence
CVGIP: Image Understanding
Dynamic feature extraction via the velocity Hough transform
Pattern Recognition Letters
Parameterizing arbitrary shapes via Fourier descriptors for evidence-gathering extraction
Computer Vision and Image Understanding
A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge
IEEE Transactions on Pattern Analysis and Machine Intelligence
3DSVHT: extraction of 3D linear motion via multi-view, temporal evidence accumulation
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
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We extend the velocity Hough transform (VHT) for tracking objects with arbitrary velocity by finding an optimal, smooth trajectory that maximises its associated energy. Optimisation is achieved by temporal dynamic programming (DP). Tracking in noise is much superior to the standard Hough transform (SHT).