We introduce a tracking-by-detection method that integrates deep object detector with particle filter tracker under the regularization framework where tracked is represented by sparse dictionary. A novel observation model which establishes consensus between and formulated enables us to update dictionary guidance of detector. This yields an efficient representation appearance through video seque...

In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative image locations of features of interest. Usually, these priors are used post-hoc in the process of resolving feature matches and obtaining final scene estimates, via ‘first get candidate matches, then resolve’ consensus algorith...

Modelling of the background (“uninteresting parts of the scene”), and of the foreground, play important roles in the tasks of visual detection and tracking of objects. This paper presents an effective and adaptive background modelling method for detecting foreground objects in both static and dynamic scenes. The proposed method computes SAmple CONsensus (SACON) of the background samples and est...

The distributed optimal output consensus problem for high-order multi-agent systems has been studied recently. In this article, we further focus on the same subject to parametric uncertainties and aim at robust controllers by measurement feedback. We first develop a dynamic compensator estimate expected point convert into several decentralized tracking problems. Then, combining integral control...

In the feature matching tasks which form an integral part of visual tracking or SLAM (Simultaneous Localisation And Mapping), there are invariably priors available on the absolute and/or relative image locations of features of interest. Usually, these priors are used post-hoc in the process of resolving feature matches and obtaining final scene estimates, via ‘first get candidate matches, then ...

In the feature matching tasks which form an integral part of visual tracking or SLAM, there are invariably priors available on the absolute and/or relative image locations of features of interest. Usually, these priors are used post-hoc in the process of resolving feature matches and obtaining final scene estimates, via ‘first get candidate matches, then resolve’ consensus algorithms such as RA...

Background: Up-to-date guidance on comprehensive study identification for systematic reviews is crucial. According to current recommendations, searching should combine electronic database with supplementary search methods. One such method citation tracking. It aims at collecting directly and/or indirectly cited and citing references from "seed references". Tailored e...

index tracking is the process of developing a portfolio that reproduces the performance of an index. the tracker portfolio has relatively good diversity and low turnover and low transaction costs. in this paper we applied a binary programming model for index tracking problem. in this model the number of assets for portfolio construction is defined by portfolio manager. the robust optimization f...

This paper addresses the problem of the joint estimation of system state and generalized sensor bias (GSB) under a common unknown input (UI) in the case of bias evolution in a heterogeneous sensor network. First, the equivalent UI-free GSB dynamic model is derived and the local optimal estimates of system state and sensor bias are obtained in each sensor node; Second, based on the state and bia...