WebJun 12, 2015 · In defense of color-based model-free tracking Abstract: In this paper, we address the problem of model-free online object tracking based on color representations. … WebIn defense of color-based model-free tracking 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Thomas Mauthner DownloadDownload PDF Full PDF PackageDownload Full PDF Package This Paper A short summary of this paper 37 Full PDFs related to this paper Read Paper DownloadDownload PDF Download Full PDF Package …
A Meta-Q-Learning Approach to Discriminative Correlation Filter based …
WebAug 22, 2024 · In Defense of Color-Based Model-Free Tracking. CVPR, 2015. Horst Possegger, Thomas Mauthner, Horst Bischof. JOTS: Joint Online Tracking and … WebMay 13, 2024 · In defense of color-based model-free tracking. Comput Vision Imag Understand 2015:2113–2120. Google Scholar. 11. Li XH. Object tracking using an adaptive Kalman filter combined with mean shift. Opt Eng 2010; 49(2): 020503. Crossref. Google Scholar. 12. Gu GS. Maneuvering target tracking based on class-dependent tracking gates. faith diskin obituary
Scilit Article - In defense of color-based model-free tracking
WebFeb 1, 2024 · Color-based tracking. Color representations are widely used in object tracking. ... H. Possegger, T. Mauthner, H. Bischof, In defense of color-based model-free tracking, in: IEEE Conf. on Computer Vision and Pattern Recognition, 2015, … WebIn this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual tracking. We first present the multi-task correlation filter (MCF) that takes the interdependencies among different object parts and features into account to learn the correlation filters jointly. WebNov 3, 2016 · The performance of participating trackers is measured using the VOT2016 evaluation toolkit 1. The toolkit runs the experiment in a standardized way and stores the output bounding boxes. If a tracker fails, it is re-initialized and the evaluation is continued after some few frames delay. faithdome