Single-object tracking is regarded as a challenging task in computer vision, especially in complex spatio-temporal contexts. The changes in the environment and object deformation make it difficult to track. In the last 10 years, the application of correlation filters and deep learning enhances the ...
Javed, S., Danelljan, M., Khan, F., Khan, M., Felsberg, M., Matas, J.: Visual object tracking with discriminative filters and Siamese networks: a survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(05), 6552–6574 (2023). https://doi.org/10.1109/TPAMI.2022.3212594 Ar...
Visual Tracking: An Experimental Survey There is a large variety of trackers, which have been proposed in the literature during the last two decades with some mixed success. Object tracking in re... None - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 860发表: 2014...
In this paper, we present a novel benchmark, GSOT3D, that aims at facilitating development of generic 3D single object tracking (SOT) in the wild. Specifically, GSOT3D offers 620 sequences with 123K frames, and covers a wide selection of 54 object categories. Each sequence is offered with...
35 Li, G., Liang, D., Huang, Q., Jiang, S.Q., Gao, W.: ‘ Object tracking usingincremental 2D-LDA learning and Bayes inference ’ . Proc. IEEE Int. Conf. ImageProcessing (ICIP), San Diego, California, USA, October 2008, pp. 1568 –1571 ...
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECCV 2020). The VisDrone-SOT2020 Challenge presents and discusses the results of 13 participating...
Deep learning-based object tracking in satellite videos: A comprehensive survey with a new dataset 10.1109/mgrs.2022.3198643 Google Scholar Liao et al., 2023 L. Liao, J. Xiao, Y. Yang, X. Ma, Z. Wang, S.i. Satoh High temporal frequency vehicle counting from low-resolution satellite images...
Alphabet Soup: A Survey of .NET Languages And Paradigms Editor's Note: I Want to Believe Database Audit Logs, Joel on Software, and Code Handouts CLR Inside Out: Measure Early and Often for Performance, Part 2 Data Points: Entity Framework Q&A ...
Duan K, Bai S, Xie L, Qi H, Huang Q, Tian Q (2019) Centernet: keypoint triplets for object detection. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 6569–6578 Elsken T, Metzen JH, Hutter F (2019) Neural architecture search: a survey. J Mach Learn ...
Images collected in rainy weather are easily affected by rain refraction and occlusion, which seriously affect subsequent processing such as object detection [1, 2], semantic segmentation [3] and target tracking [4]. Image deraining is an important prerocessing for them, especially in complex mari...