Results 11 to 20 of about 477,356 (259)
Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
doaj +1 more source
Learning Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild
Remote Sensing, 2022 The popularity of unmanned aerial vehicles (UAVs) has made anti-UAV technology increasingly urgent. Object tracking, especially in thermal infrared videos, offers a promising solution to counter UAV intrusion.
Junjie Chen +5 more
doaj +1 more source
Correlation Tracking via Spatial-Temporal Constraints and Structured Sparse Regularization
IEEE Access, 2021 Discriminative correlation filter (DCF) has achieved promising performance in visual tracking for its high efficiency and high accuracy. However, DCF trackers usually suffer from some challenges, such as boundary effects and appearance changes.
Dan Tian, Shouyu Zang, Binbin Tu
doaj +1 more source
Shallow Layer Convolutional Features with Correlation Filters for UAV Object Tracking
Journal of Telecommunications and Information Technology, 2022 In this paper, convolutional shallow features are proposed for unmanned aerial vehicle (UAV) tracking. These convolutional shallow features are generated by pre-trained convolutional neural networks (CNN) and are used to represent the target objects ...
Budi Syihabuddin +3 more
doaj +1 more source
Research on the Correlation Filter Tracking Model Based on the Deep-Pruned Feature Network
Applied Sciences, 2022 Visual tracking is one of the key research fields in computer vision. Based on the combination of correlation filter tracking (CFT) model and deep convolutional neural networks (DCNNs), deep correlation filter tracking (DCFT) has recently become a ...
Honglin Chen, Chunting Li, Chaomurilige
doaj +1 more source
Correlation filters with limited boundaries [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 8 pages, 6 figures, 2 ...
Hamed Kiani Galoogahi +2 more
openaire +2 more sources
Latent Constrained Correlation Filter [PDF]
IEEE Transactions on Image Processing, 2018 Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance.
Baochang Zhang 0001 +6 more
openaire +6 more sources
Sensors, 2020 Multi-resolution feature fusion DCF (Discriminative Correlation Filter) methods have significantly advanced the object tracking performance. However, careless choice and fusion of sample features make the algorithm susceptible to interference, leading to
Lin Zhou +6 more
doaj +1 more source
High-Performance Visual Tracking Based on High-Order Pooling Network
IEEE Access, 2022 Convolution Neural Network (CNN) features have been widely used in visual tracking due to their powerful representation. As an important component of CNN, the pooling layer plays a critical role, but the max/average/min operation only explores the first ...
Xinxi Feng, Lei Pu
doaj +1 more source
Multi-channel Correlation Filters [PDF]
2013 IEEE International Conference on Computer Vision, 2013 Modern descriptors like HOG and SIFT are now commonly used in vision for pattern detection within image and video. From a signal processing perspective, this detection process can be efficiently posed as a correlation/ convolution between a multi-channel image and a multi-channel detector/filter which results in a single channel response map indicating
Hamed Kiani Galoogahi +2 more
openaire +1 more source