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Full-Text Articles in Physical Sciences and Mathematics
Non-Rigid Multi-Modal Object Tracking Using Gaussian Mixture Models, Prakash Chockalingam
Non-Rigid Multi-Modal Object Tracking Using Gaussian Mixture Models, Prakash Chockalingam
All Theses
This work presents an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature-spatial space, with each ellipsoid corresponding to a different fragment. The fragment set and its cardinality are automatically adapted to the image data using an efficient region-growing procedure and updated according to a weighted average of the past and present image statistics. The fragment modeling is used to generate a strength map indicating the probability of each pixel belonging to the foreground. The strength map provides vital information about new …
Accurate Tracking Of Objects Using Level Sets, Nalin Senthamil
Accurate Tracking Of Objects Using Level Sets, Nalin Senthamil
All Theses
Our current work presents an approach to tackle the challenging task of tracking objects in Internet videos taken from large web repositories such as YouTube. Such videos more often than not, are captured by users using their personal hand-held cameras and cellphones and hence suffer from problems such as poor quality, camera jitter and unconstrained lighting and environmental settings. Also, it has been observed that events being recorded by such videos usually contain objects moving in an unconstrained fashion. Hence, tracking objects in Internet videos is a very challenging task in the field of computer vision since there is no …