Showing 1-8 of 8 resultsfor "Index Terms":Discriminative Scale Space Tracker
"Index Terms":Discriminative Scale Space Tracker
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
Rotation-Aware Discriminative Scale Space Tracking
Seyed Mojtaba Marvasti-Zadeh;Hossein Ghanei-Yakhdan;Shohreh Kasaei
2019 27th Iranian Conference on Electrical Engineering (ICEE)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Although discriminative correlation filters (DCF) based methods have achieved desirable performance in visual tracking, most existing methods still fail to cope with significant target rotations in challenging scenarios. This paper proposes a rotation-aware DCF-based tracking method that efficiently estimates the target rotation and exploits the estimated rotation in translation and scale models. ...Show More
An anti-occlusion tracking system for UAV imagery based on Discriminative Scale Space Tracker and Optical Flow
2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
In this paper, an anti-occlusion tracking system is proposed for Unmanned Aerial Vehicle (UAV) images. Innovatively combining the efficient Discriminative Scale Space Tracker (DSST) and optical flow, the system can realize accurate and successive tracking in long-range UAV images, providing a foundation for unmanned autonomous system. The DSST contains two correlation filters, i.e., the scale filt...Show More
Application of Detection and Correlation Filter in Long-Term Vehicle Tracking
2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)
Year: 2021 | Conference Paper |
An elevated tracking algorithm is proposed to deal with the tracking bounding box loss, which is due to fast discriminative scale space tracker algorithm (fDSST) when the vehicle is in complete occlusion and reappears after complete disappearance. Based on fDSST, the maximum response value, the average peak correlation energy, and the peak sidelobe ratio are used as the parameters to check whether...Show More
A KCF-Based Tracker with Faster Scale Estimation and Effective Occlusion Detection
2019 Chinese Control And Decision Conference (CCDC)
Year: 2019 | Conference Paper |
In visual object tracking, designing a robust and fast tracking algorithm is always a challenging task. KCF is exactly one of those trackers which have fast computational speed and well tracking accuracy. However, when the object's scale variates, the tracking accuracy of KCF will greatly decrease due to the lack of scale estimation approach. For this reason, DSST has proposed a KCF-based robust s...Show More
Fast Robust Tracking Via Double Correlation Filter Formulation
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Over the past few years, fast and robust trackers based on Kernelized Correlation Filters have shown top notch performance on the Visual Object Tracking challenge. However there is still scope for obtaining higher performance through the use of reasonable approximations that can easily be shown to work through empirical methods. We study some variants derived from the Discriminative Scale Space Tr...Show More
Discriminative Scale Space Tracking
Martin Danelljan;Gustav Häger;Fahad Shahbaz Khan;Michael Felsberg
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 target size. The exhaustive search strategy is computationally expensive and struggles when encountered with large scale variations. This paper investigates the problem of accurate and robust scale estimation in a trackin...Show More
KMFDSST Algorithm-Based Rotor Attitude Estimation for a Spherical Motor
Sili Zhou;Wenping Cao;Qunjing Wang;Mengran Zhou;Xiaoliang Zheng;Jiachuan Lou;Yong Chen
Rotor attitude estimation (RAE) is a predominant approach to controlling spherical motors, but there is a margin for its improvement. This article proposes a visual RAE method by using the Kalman filter-based multi-object fast discriminative scale space tracker (KMFDSST) algorithm. The KMFDSST algorithm is adopted to detect three visual objects simultaneously on the top of the spherical motor. The...Show More
A Real-time Visual UAV Detection Algorithm on Jetson TX2
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Unmanned aerial vehicles (UAVs) are now widely used in civil applications. Uncontrolled UAVs may cause some harm to the order of flight fields and other places. An adaptive UAV detection algorithm based on maximally stable extremal regions method is proposed for small target detection of UAV in video. By optimizing the MSER algorithm, this UAV detection algorithm can detect video in real time and ...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.