Non-overlapping Distributed Tracking System Utilizing Particle Filter
نویسندگان
چکیده
منابع مشابه
Non-overlapping Distributed Tracking System Utilizing Particle Filter
Tracking people across multiple cameras is a challenging research area in visual computing, especially when these cameras have non-overlapping field of views. The important task is to associate a current subject with other prior appearances of the same subject across time and space in a camera network. Several known techniques rely on Bayesian approaches to perform the matching task. However, t...
متن کاملA New Modified Particle Filter With Application in Target Tracking
The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...
متن کاملA Distributed Target Tracking Algorithm Based on Particle Filter ⋆
A distributed target tracking algorithm based on particle filter is presented to improve the tracking accuracy. By integrating the maximum likelihood estimation algorithm into particle filter model, an optimum weight selection algorithm can be used to reduce overall energy consumption of some sample calculations activities in wireless sensor network. Evaluation results prove that the improved s...
متن کاملDistributed Particle Filter for Target Tracking: With Reduced Sensor Communications
For efficient and accurate estimation of the location of objects, a network of sensors can be used to detect and track targets in a distributed manner. In nonlinear and/or non-Gaussian dynamic models, distributed particle filtering methods are commonly applied to develop target tracking algorithms. An important consideration in developing a distributed particle filtering algorithm in wireless s...
متن کاملDistributed Particle Filter for Target Tracking in Sensor Networks
In this paper, we present a distributed particle filter (DPF) for target tracking in a sensor network. The proposed DPF consists of two major steps. First, particle compression based on support vector machine is performed to reduce the cost of transmission among sensors. Second, each sensor fuses the compressed information from its neighboring nodes with use of consensus or gossip algorithm to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
سال: 2007
ISSN: 0922-5773,1573-109X
DOI: 10.1007/s11265-007-0091-4