Scale Adaptive Kernel Correlation Filter Tracking Algorithm Combined with Learning Rate Adjustment
نویسندگان
چکیده
منابع مشابه
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration
Although the correlation filter-based trackers achieve the competitive results both on accuracy and robustness, there is still a need to improve the overall tracking capability. In this paper, we presented a very appealing tracker based on the correlation filter framework. To tackle the problem of the fixed template size in kernel correlation filter tracker, we suggest an effective scale adapti...
متن کاملDynamic Learning Rate Adjustment Algorithm
Developing an investment portfolio for the stock market that will yield positive returns is the primary goal of investors worldwide. A variety of models and algorithms have been developed to decide upon a distribution which maximizes gains in the market, a few examples being the Geometric Brownian Motion model and the universal portfolio. One particular algorithm, known as online gradient desce...
متن کاملLearning Rotation for Kernel Correlation Filter
Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks. However it suffers from problems that affect its performance like occlusion, rotation and scale change. This paper tries to tackle the problem of rotation by reformulating the optimization problem for learning the correlation filter. This modification (RKCF) in...
متن کاملAdaptive Correlation Tracking of Targets with Changing Scale
Algorithms for tracking targets imaged through a zoom lens must accommodate changes in the magnification of the target. This requirement poses particular problems for correlation techniques, which usually are not invariant to scale changes. An adaptive correlation method has been developed that selectively updates the correlation template in response to scale changes in an image sequence. The a...
متن کاملDoppler and bearing tracking using fuzzy adaptive unscented Kalman filter
The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...
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: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201823203016