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Deep learning in visual tracking: A review
Deep learning (DL) has made breakthroughs in many computer vision tasks and also in
visual tracking. From the beginning of the research on the automatic acquisition of high …
visual tracking. From the beginning of the research on the automatic acquisition of high …
Remote heart rate measurement using low-cost RGB face video: a technical literature review
Remote photoplethysmography (rPPG) allows remote measurement of the heart rate using
low-cost RGB imaging equipment. In this study, we review the development of the field of …
low-cost RGB imaging equipment. In this study, we review the development of the field of …
Transformer meets tracker: Exploiting temporal context for robust visual tracking
In video object tracking, there exist rich temporal contexts among successive frames, which
have been largely overlooked in existing trackers. In this work, we bridge the individual …
have been largely overlooked in existing trackers. In this work, we bridge the individual …
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 …
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 …
Unified transformer tracker for object tracking
As an important area in computer vision, object tracking has formed two separate
communities that respectively study Single Object Tracking (SOT) and Multiple Object …
communities that respectively study Single Object Tracking (SOT) and Multiple Object …
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 …
Few-shot class-incremental learning by sampling multi-phase tasks
New classes arise frequently in our ever-changing world, eg, emerging topics in social
media and new types of products in e-commerce. A model should recognize new classes …
media and new types of products in e-commerce. A model should recognize new classes …
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 …
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 …