Deep visual tracking: Review and experimental comparison
Recently, deep learning has achieved great success in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on deep learning. First, we …
paper is to review the state-of-the-art tracking methods based on deep learning. First, we …
Overview of environment perception for intelligent vehicles
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
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 …
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; …
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 …
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 …
Discriminative scale space tracking
Accurate scale estimation of a target is a challenging research problem in visual object
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …
Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking
With efficient appearance learning models, discriminative correlation filter (DCF) has been
proven to be very successful in recent video object tracking benchmarks and competitions …
proven to be very successful in recent video object tracking benchmarks and competitions …
Learning spatially regularized correlation filters for visual tracking
Robust and accurate visual tracking is one of the most challenging computer vision
problems. Due to the inherent lack of training data, a robust approach for constructing a …
problems. Due to the inherent lack of training data, a robust approach for constructing a …