Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter
نویسندگان
چکیده
منابع مشابه
Efficient approximation of the Mahalanobis distance for tracking with the Kalman filter
We address the problem of tracking efficiently feature points along image sequences. To estimate the undergoing movement we use an approach based on Kalman filtering which performs the prediction and correction of the features movement in every image frame. In this paper measured data is incorporated by optimizing the global correspondence set based on efficient approximations of the Mahalanobi...
متن کاملstudy of cohesive devices in the textbook of english for the students of apsychology by rastegarpour
this study investigates the cohesive devices used in the textbook of english for the students of psychology. the research questions and hypotheses in the present study are based on what frequency and distribution of grammatical and lexical cohesive devices are. then, to answer the questions all grammatical and lexical cohesive devices in reading comprehension passages from 6 units of 21units th...
nano-rods zno as an efficient catalyst for the synthesis of chromene phosphonates, direct amidation and formylation of amines
چکیده ندارد.
Tracking Features in Image Sequences with Kalman Filtering, Global Optimization, Mahalanobis Distance and a Management Model
This work addresses the problem of tracking feature points along image sequences. In order to analyze the undergoing movement, an approach based on the Kalman filtering technique has been used, which basically carries out the estimation and correction of the features’ movement in every image frame. So as to integrate the measurements obtained from each image into the Kalman filter, a data optim...
متن کاملA Movement Tracking Management Model with Kalman Filtering, Global Optimization Techniques and Mahalanobis Distance
In this paper we address the problem of tracking feature points along image sequences. To analyze the undergoing movement we use a common approach based on Kalman filtering which performs the estimation and correction of the feature point’s movement in every image frame. The criterion proposed to establish correspondences, between the group of estimates in each image and the new data to include...
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: International Journal of Simulation Modelling
سال: 2007
ISSN: 1726-4529
DOI: 10.2507/ijsimm06(2)s.03