This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
We present a novel keyframe selection and recognition
method for robust markerless real-time camera tracking.
Our system contains an ofine module to select features
from a grou...
A mapmaking robot integrates accumulated sensor data into a data structure that can be used for future localization or planning operations. Localization is the process of determin...