Satellite video single object tracking: A systematic review and an oriented object tracking benchmark
Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …
position and range information of an arbitrary object, showing promising value in remote …
Handcrafted and deep trackers: Recent visual object tracking approaches and trends
In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …
increasing number of tracking algorithms are being proposed each year. It is because …
TCTrack: Temporal contexts for aerial tracking
Temporal contexts among consecutive frames are far from being fully utilized in existing
visual trackers. In this work, we present TCTrack, a comprehensive framework to fully exploit …
visual trackers. In this work, we present TCTrack, a comprehensive framework to fully exploit …
Hift: Hierarchical feature transformer for aerial tracking
Most existing Siamese-based tracking methods execute the classification and regression of
the target object based on the similarity maps. However, they either employ a single map …
the target object based on the similarity maps. However, they either employ a single map …
Probabilistic regression for visual tracking
Visual tracking is fundamentally the problem of regressing the state of the target in each
video frame. While significant progress has been achieved, trackers are still prone to failures …
video frame. While significant progress has been achieved, trackers are still prone to failures …
SiamCAR: Siamese fully convolutional classification and regression for visual tracking
By decomposing the visual tracking task into two subproblems as classification for pixel
category and regression for object bounding box at this pixel, we propose a novel fully …
category and regression for object bounding box at this pixel, we propose a novel fully …
The eighth visual object tracking VOT2020 challenge results
Abstract The Visual Object Tracking challenge VOT2020 is the eighth annual tracker
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …
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 …
Human memory update strategy: a multi-layer template update mechanism for remote visual monitoring
In the era of rapid development of artificial intelligence, the integration of multimedia and
human-artificial intelligence has become an important research hotspot. Especially in the …
human-artificial intelligence has become an important research hotspot. Especially in the …
The seventh visual object tracking VOT2019 challenge results
Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …