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Dense point trajectories estimation is a challenging yet important problem due to its potential of supporting other fields, such as motion estimation, action recognition, etc. In previous work, dense motion trackers always estimate trajectories based on consecutive frames and ignore scene context prior, thereby suffering from inaccurate estimation. In this paper, we present a novel dense point trajectories...
The robust tracking of abrupt motion is a challenging task in computer vision due to its large motion uncertainty. While various particle filters and conventional Markov-chain Monte Carlo (MCMC) methods have been proposed for visual tracking, these methods often suffer from the well-known local-trap problem or from poor convergence rate. In this paper, we propose a novel sampling-based tracking scheme...
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (SAMC) based tracking scheme for abrupt motion problem in Bayesian filtering framework. In our tracking scheme, the particle weight is dynamically estimated by learning the density of states in simulations, and thus the local-trap...
In this paper, we consider a cross-layer design of dynamic spectrum access in distributive cognitive radio (CR) networks. We model the licensed channel as a finite-state Markov channel (FSMC) and the CR user selects one channel to access and decides transmission rate and power in order to maximize its energy efficiency. We propose a game theoretic framework to formulate this problem and apply a learning...
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the...
The design of opportunistic spectrum access (OSA) policy is a key technique of cognitive radio. In this paper, we consider a scenario that the secondary user can't sense full spectrum due to hardware constraints. In order to get higher transmission rate, we allow the secondary user sense multiple channels in a slot and group them together by channel bonding technique after detecting consecutive idle...
Effective management of knowledge intensive yield analysis plays a significant role in fast yield ramping for semiconductor manufacturing. Although data analysis platforms with many analysis function tools are available to the industry, there is lack of systematic representation of engineering knowledge for effective extraction and sharing; engineers' identification of situations and analysis purposes...
In this paper, we proposed a novel approach to image completion for overlapping chromosomes. In our system, only given missing regions, the task can be performed automatically without human intervention. We address the problem of image completion for overlapping chromosomes in the context of a discrete global optimization problem. In order to reconstruct the original chromosome image as faithfully...
Effective management of knowledge-intensive yield analysis plays a significant role in fast yield ramping. Over the problem domain of fault symptom identification in semiconductor yield anlaysis, three mechanisms are designed in this paper to extract the knowledge of engineers. The mechanisms include Unified Resource Model-based purpose and tool mapping for linking engineers' analysis purposes to...
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