Multi-Channel Feature Dimension Adaption for Correlation Tracking
نویسندگان
چکیده
منابع مشابه
Particle dynamics and multi-channel feature dictionaries for robust visual tracking
We present a novel approach to solve the visual tracking problem in a particle filter framework based on sparse visual representations. Current state-of-the-art trackers use low-resolution image intensity features in target appearance modeling. Such features often fail to capture sufficient visual information about the target. Here, we demonstrate the efficacy of visually richer representation ...
متن کاملSupplementary material : Particle dynamics and multi - channel feature dictionaries for robust visual tracking
The basic idea of KLD-sampling [3] is to find the number of particles in each iteration such that the error between the true posterior probability density and the probability density approximated by the particle filter is less than ν with probability (1−δ ). At any particular iteration, suppose we draw n particles from a discrete probability distribution that has k disparate bins. Defining the ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2021.3075089