Occlusion tracking using logic models

We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results. KEY WORDS Image segmentation, tracking, variational methods

• Type: Conference
• Year: 2007
• Where: SIP
• Authors: J. H. von Brecht, Sheshadri R. Thiruvenkadam, Tony F. Chan
• Keywords: Image Processing, PDE Based Model, SIP 2007, Unique Occlusion Scenario, WORDS Image Segmentation