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Deep learning for visual tracking: A comprehensive survey
Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
Recent advances of single-object tracking methods: A brief survey
Single-object tracking is regarded as a challenging task in computer vision, especially in
complex spatio-temporal contexts. The changes in the environment and object deformation …
complex spatio-temporal contexts. The changes in the environment and object deformation …
Learning target candidate association to keep track of what not to track
The presence of objects that are confusingly similar to the tracked target, poses a
fundamental challenge in appearance-based visual tracking. Such distractor objects are …
fundamental challenge in appearance-based visual tracking. Such distractor objects are …
AutoTrack: Towards high-performance visual tracking for UAV with automatic spatio-temporal regularization
Most existing trackers based on discriminative correlation filters (DCF) try to introduce
predefined regularization term to improve the learning of target objects, eg, by suppressing …
predefined regularization term to improve the learning of target objects, eg, by suppressing …
Got-10k: A large high-diversity benchmark for generic object tracking in the wild
We introduce here a large tracking database that offers an unprecedentedly wide coverage
of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon …
of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon …
Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking
Tracking in the unmanned aerial vehicle (UAV) scenarios is one of the main components of
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …
Learning the model update for siamese trackers
Siamese approaches address the visual tracking problem by extracting an appearance
template from the current frame, which is used to localize the target in the next frame. In …
template from the current frame, which is used to localize the target in the next frame. In …
Learning spatial-temporal regularized correlation filters for visual tracking
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
The unmanned aerial vehicle benchmark: Object detection and tracking
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel
numerous important applications in computer vision, delivering more efficiency and …
numerous important applications in computer vision, delivering more efficiency and …
Overview and methods of correlation filter algorithms in object tracking
An important area of computer vision is real-time object tracking, which is now widely used
in intelligent transportation and smart industry technologies. Although the correlation filter …
in intelligent transportation and smart industry technologies. Although the correlation filter …