… It would not be practical to attempt to describe all published works concerning visual tracking…
the visual tracking literature. The primary focus of this review is on the visual tracking of …

… ; ii) we develop an effective visual tracking algorithm based on the proposed sequential
learning … benchmark data sets and demonstrate that the proposed tracking algorithm performs …

… some related visual tracking methods, which utilize convolutional neural networks (CNNs),
distance metric learning (DML), sparse coding, and multiple cues for robust visual tracking. …

… architecture named RPT to accurately estimate the target state with a finer point set …
Comprehensive evaluations on various visual tracking datasets indicate that our method …

… visual tracking is the problem of estimating the trajectory of a target in an image sequence,
given only its initial location. Tracking … Furthermore, the tracking model must be flexible to …

… Mechanisms of Visual Tracking In this section, I first describe an object-model alignment
mechanism that could carry out the visual tracking task studied here. Using this mechanism as a …

… on visual tracking methods, classify them into different categories, as well as identify future
trends. Visual tracking is a … At last, we outline the future trends for visual tracking research. …

… Our main contribution is the adaptation of a filter based on Random Finite Sets to real-world
visual tracking scenarios. These adaptations are not straightforward as, unlike conventional …

… A typical problem arising from visual tracking is to estimate the posterior probability p(sk|yk)
for … In the context of visual tracking, we may obtain more spacial information at the same cost. …

… This paper proposes a new visual tracking approach by reflecting some aspects of spatial
… a new visual tracking approach that reflects some findings of selective visual attention in hu…