Modality-correlation-aware sparse representation for RGB-infrared object tracking
To intelligently analyze and understand video content, a key step is to accurately perceive
the motion of the interested objects in videos. To this end, the task of object tracking, which …
the motion of the interested objects in videos. To this end, the task of object tracking, which …
Latent constrained correlation filter
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 …
are robust to pattern distortions. The recent literature shows that combining a set of sub …
Image reconstruction via manifold constrained convolutional sparse coding for image sets
Convolution sparse coding (CSC) has attracted much attention recently due to its
advantages in image reconstruction and enhancement. However, the coding process suffers …
advantages in image reconstruction and enhancement. However, the coding process suffers …
Unmanned aerial vehicle object tracking by correlation filter with adaptive appearance model
With the increasing availability of low-cost, commercially available unmanned aerial
vehicles (UAVs), visual tracking using UAVs has become more and more important due to its …
vehicles (UAVs), visual tracking using UAVs has become more and more important due to its …
Object detection and tracking benchmark in industry based on improved correlation filter
S Luan, Y Li, X Wang, B Zhang - Multimedia Tools and Applications, 2018 - Springer
Real-time object detection and tracking have shown to be the basis of intelligent production
for industrial 4.0 applications. It is a challenging task because of various distorted data in …
for industrial 4.0 applications. It is a challenging task because of various distorted data in …
Efficient fuzzy feature matching and optimal feature points for multiple objects tracking in fixed and active camera models
A Mathivanan, S Palaniswamy - Multimedia Tools and Applications, 2019 - Springer
In computer vision, the multiple objects tracking play a vital challenging role. To solve the
issues in this research field, various traditional techniques had been developed. In this …
issues in this research field, various traditional techniques had been developed. In this …
Adaptive multiclass correlation filters and its applications in the time series recognition
The adaptive multiclass correlation filters (AMCF) method is proposed to exploit different
kinds of features and information in a unified framework for recognition. Theoretical …
kinds of features and information in a unified framework for recognition. Theoretical …