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 …
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 …
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 …
SCSTCF: spatial-channel selection and temporal regularized correlation filters for visual tracking
J Zhang, W Feng, T Yuan, J Wang, AK Sangaiah - Applied Soft Computing, 2022 - Elsevier
Recently, combining multiple features into discriminative correlation filters to improve
tracking representation has shown great potential in object tracking. Existing trackers apply …
tracking representation has shown great potential in object tracking. Existing trackers apply …
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 …
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 …
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 …
Lasot: A high-quality benchmark for large-scale single object tracking
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object
Tracking. LaSOT consists of 1,400 sequences with more than 3.5 M frames in total. Each …
Tracking. LaSOT consists of 1,400 sequences with more than 3.5 M frames in total. Each …