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 …
Learning in high-dimensional multimedia data: the state of the art
During the last decade, the deluge of multimedia data has impacted a wide range of
research areas, including multimedia retrieval, 3D tracking, database management, data …
research areas, including multimedia retrieval, 3D tracking, database management, data …
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 …
Self-supervised deep correlation tracking
The training of a feature extraction network typically requires abundant manually annotated
training samples, making this a time-consuming and costly process. Accordingly, we …
training samples, making this a time-consuming and costly process. Accordingly, we …
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Siamese network based trackers formulate tracking as convolutional feature cross-
correlation between target template and searching region. However, Siamese trackers still …
correlation between target template and searching region. However, Siamese trackers still …
Distractor-aware siamese networks for visual object tracking
Recently, Siamese networks have drawn great attention in visual tracking community
because of their balanced accuracy and speed. However, features used in most Siamese …
because of their balanced accuracy and speed. However, features used in most Siamese …
The sixth visual object tracking vot2018 challenge results
Abstract The Visual Object Tracking challenge VOT2018 is the sixth annual tracker
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
Fuzzy detection aided real-time and robust visual tracking under complex environments
Today, a new generation of artificial intelligence has brought several new research domains
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
Visual object tracking with discriminative filters and siamese networks: a survey and outlook
Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …
computer vision problems. It entails estimating the trajectory of the target in an image …
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows
In recent years, deep learning has revolutionized computer vision and has been widely used
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
for monitoring in diverse visual scenes. However, in terms of some aspects such as …