Improved Method Based on MPF for Multi-target Tracking
نویسندگان
چکیده
منابع مشابه
Target Tracking Based on Virtual Grid in Wireless Sensor Networks
One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...
متن کاملImproved assignment with ant colony optimization for multi-target tracking
Detecting and tracking ground targets is crucial in military intelligence in battlefield surveillance. Once targets have been detected, the system used can proceed to track them where tracking can be done using Ground Moving Target Indicator (GMTI) type indicators that can observe objects moving in the area of interest. However, when targets move close to each other in formation as a convoy, th...
متن کاملImproved Gaussian Mixture PHD Smoother for Multi-target Tracking
The Gaussian mixture probability hypothesis density (GM-PHD) smoother proposed recently can yield better state estimates than the GM-PHD filter. However, there are two major problems with it. First, the smoothed PHD distribution can not provide a more accurate target number estimate due to the target number estimation bias becoming larger by smoothing. Second, the computational complexity of co...
متن کاملAn Improved Nearest Neighbor Data Association Method for Underwater Multi-Target Tracking
Nearest Neighbor (NN) data association method is the most popular and widely used algorithm for target tracking in the presence of clutter, due to its acceptable performance and low computational complexity. Despite of the good performance of this algorithm in single target tracking and even Multi-Target Tracking (MTT) with non-crossing paths scenarios, its performance degrades significantly in...
متن کاملTarget Tracking Algorithm Based on Improved Unscented Kalman Filter
In order to improve the performance of target tracking and solve the defects of unscented Kalman filter, a target tracking algorithm based on improved unscented Kalman filter is proposed in this paper. Firstly, the fading factor is introduced into the filter based on strong tracking filter to avoid the filter divergence, and then wavelet transform is used to estimate the statistical characteris...
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: AASRI Procedia
سال: 2012
ISSN: 2212-6716
DOI: 10.1016/j.aasri.2012.11.030