This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the drawbacks of the ...commonly used Generalized Covariance Intersection method, which considers constant weights allocated for sensors. Our method is based on enhancing the Generalized Covariance Intersection with adaptive weights that are automatically tuned based on the amount of information carried by the measurements from each sensor. To quantify information content, Cauchy-Schwarz divergence is used. Another distinguished characteristic of our method lies in the usage of the Labeled Multi-Bernoulli filter for multi-object tracking, in which the weight of each sensor can be separately adapted for each Bernoulli component of the filter. The results of numerical experiments show that our proposed method can successfully integrate information provided by multiple sensors with different fields of view. In such scenarios, our method significantly outperforms the state of art in terms of inclusion of all existing objects and tracking accuracy.
Sensor management in multi-object stochastic systems is a theoretically and computationally challenging problem. This paper presents a novel approach to the multi-target multi-sensor control problem ...within the partially observed Markov decision process (POMDP) framework. We model the multi-object state as a labeled multi-Bernoulli random finite set (RFS), and use the labeled multi-Bernoulli filter in conjunction with minimizing a task-driven control objective function: posterior expected error of cardinality and state (PEECS). A major contribution is a guided search for multi-dimensional optimization in the multi-sensor control command space, using coordinate descent method. In conjunction with the Generalized Covariance Intersection method for multi-sensor fusion, a fast multi-sensor algorithm is achieved. Numerical studies are presented in several scenarios where numerous controllable (mobile) sensors track multiple moving targets with different levels of observability. The results show that our method works significantly faster than the approach taken by a state of art method, with similar tracking errors.
Multiple cell tracking using ant estimator Benlian Xu; Mingli Lu; Peiyi Zhu ...
2012 International Conference on Control, Automation and Information Sciences (ICCAIS),
2012-Nov.
Conference Proceeding
Quantitative analysis of cell dynamic processes through fluorescence microscopy imaging requires simultaneously tracking large and time-varying number of bright spots and its individual states in ...noisy image sequences. Such process is characterized as a challenging task due to several roadblocks including the severe image noise and clutter, the occlusion of one cell by others, and the weak image contrast. In this paper, we propose a novel ant stochastic searching behavior based tracking algorithm, which is called ANT estimator, to tracking multiple cells in fluorescence image sequences. In our ant system, each ant determines probabilistically potential state and then adjusts its mobility according to cell detection position heuristic information. Simulation results verify the effectiveness of our algorithm when applied to cell tracking cases, and its performance is also compared with the particle filter based cell tracking algorithm.
A study on two novel ant estimators Benlian Xu; Zhiquan Wang
2009 4th IEEE Conference on Industrial Electronics and Applications
Conference Proceeding
Ant colony optimization (ACO) algorithm is usually utilized to solve various combinatorial optimization problems. In this work, however, two novel ant systems are developed to estimate the state of ...interest, and we call them ant estimators. The first ant estimator is based partly upon the idea of particle filter, while the latter depends on the movement of each ant. For each ant estimator, the ldquopheromonerdquo update equation is well defined in order to guide ants to better solutions. Finally, Monte-Carlo runs are conducted and the results indicate that the two ant estimator perform well in estimating state parameters. In particular, we find that both are capable of tracking maneuvering target without any auxiliary means when employed in the target tracking field.
Trust Service Selection in Pervasive Computing Xiaoying Wang; Yingge Chen; Benlian Xu
2009 International Conference on Multimedia Information Networking and Security,
2009-Nov., Letnik:
1
Conference Proceeding
This paper describes the establishment and estimation of trust relation, and put forward a kind of trust service selection model in pervasive computing environment. Through direct and indirect trust ...relation evaluation, preference adjustment and trust update, a sound trust service evaluation system is set up which has been tested in smart UPS network system and shows a better performance.
In terms of the phenomenon which occurs in the track initiation method based on Hough transform for multi-target tracking in clutter environment, multiple tracks are initiated by only one target. A ...novel track initiation method based on ant-based clustering algorithm and Hough transform method is proposed. Firstly, it utilizes the ant-based clustering to remove many clutters and ghosts, and then extracts the possible candidate points originated from true targets. Finally the Hough transform method is applied to initiate the track of the extracted points. Numerical simulations indicated the effectiveness of the proposed method.
Hypereutectic Al-Mg
2Si alloy tubes were produced by a centrifugal casting process. Primary Mg
2Si particles were formed in the tube periphery with graded distribution. Influence of the rotation ...speed and cooling rate on formation and graded distribution of Mg
2Si particles was discussed. It is found that in the outer periphery the particle distribution profile at different rotation speeds is quite different from each other, while it is similar in the inner periphery. Extremely higher cooling rates during centrifugal casting resulted in a better particle distribution gradient and a much finer microstructure in the outer periphery of the tube.
