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As a signal processing method, the least-squares method plays a crucial role in parameter estimation, and great progress has been made in recent decades. However, errors may occur when the parameters to be estimated have some actual physical meaning, e.g., if the human-body temperature is estimated to be 70 °C by a general least-squares method. In this study, we consider solving a particular problem,...
Depth map provides rich information and it can be utilized in object tracking to handle some challenging problems in conventional RGB tracking such as occlusions and model drift. In this paper, we present a tracker that provides an effective real-time target tracking method based on a binocular camera. The proposed tracker is an extension of the popular KCF algorithm that leverages a circulant structure...
This brief presents the real-time dynamic Dubins-Helix (RDDH) method for trajectory smoothing, which consists of Dubins-Helix trajectory generation and pitch angle smoothing. The generated 3-D trajectory is called the RDDH trajectory. On one hand, the projection of 3-D trajectory on the horizontal plane is partially generated by Dubins path planner such that the curvature radius constraint is satisfied...
To increase the precision in recommendation, a heuristic recommendation method based on contextual social network is proposed. A contextual social network is constructed based on basic social network, including contextual information such as the trust relationship, user role, user profile and user preference. A heuristic method combined with collaborative filtering is introduced for recommendation...
Cloud computing is becoming a mainstream aspect of information technology. The cloud applications are usually large-scale, complex, and include a lot of distributed components. Providing highly reliable cloud applications is a challenging and critical research problem. To attack this challenge, we propose FTCloud which is a component ranking based framework for building fault-tolerant cloud applications...
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