Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows
In recent years, deep learning has revolutionized computer vision and has been widely used
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
Learning adaptive sparse spatially-regularized correlation filters for visual tracking
J Zhang, Y He, S Wang - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
The correlation filter (CF)-based tracker is a classic and effective model in the field of visual
tracking. For a long time, most CF-based trackers solved filters using only ridge regression …
tracking. For a long time, most CF-based trackers solved filters using only ridge regression …
Pcgan: A noise robust conditional generative adversarial network for one shot learning
Traffic sign classification plays a vital role in autonomous vehicles for its powerful capability
in information representation. However, the low-quality data of traffic signs captured by in …
in information representation. However, the low-quality data of traffic signs captured by in …
Robust correlation filter learning with continuously weighted dynamic response for UAV visual tracking
Unmanned aerial vehicles (UAVs) visual tracking has always been a challenging task.
Existing correlation filter tracking algorithms typically utilize the histograms of oriented …
Existing correlation filter tracking algorithms typically utilize the histograms of oriented …
ReCF: Exploiting response reasoning for correlation filters in real-time UAV tracking
Object tracking is a fundamental task for the visual perception system on the intelligent
unmanned aerial vehicle (UAV). The high efficiency of correlation filter (CF) based trackers …
unmanned aerial vehicle (UAV). The high efficiency of correlation filter (CF) based trackers …
Learning the distribution-based temporal knowledge with low rank response reasoning for uav visual tracking
In recent years, the constraint based correlation filter has shown good performance in
unmanned aerial vehicle (UAV) tracking, which gains a lot popularity in many intelligence …
unmanned aerial vehicle (UAV) tracking, which gains a lot popularity in many intelligence …
Bipartite Graph-based Projected Clustering with Local Region Guidance for Hyperspectral Imagery
Hyperspectral image (HSI) clustering is challenging to divide all pixels into different clusters
because of the absent labels, large spectral variability and complex spatial distribution …
because of the absent labels, large spectral variability and complex spatial distribution …
Visual Object Tracking across Diverse Data Modalities: A Review
Visual Object Tracking (VOT) is an attractive and significant research area in computer
vision, which aims to recognize and track specific targets in video sequences where the …
vision, which aims to recognize and track specific targets in video sequences where the …
Learning rich feature representation and aggregation for accurate visual tracking
Visual tracking is a key component of computer vision and has a wide range of practical
applications. Recently, the tracking-by-segmentation framework has been widely applied in …
applications. Recently, the tracking-by-segmentation framework has been widely applied in …
A novel algorithm based on a common subspace fusion for visual object tracking
Recent methods for visual tracking exploit a multitude of information obtained from
combinations of handcrafted and/or deep features. However, the response maps derived …
combinations of handcrafted and/or deep features. However, the response maps derived …