Systems and methods for object tracking
J Ren, F Guo, R Yang - US Patent 10,586,102, 2020 - Google Patents
A method performed by an electronic device is described. The method includes obtaining a
first frame of a scene. The method also includes performing object recognition of at least one …
first frame of a scene. The method also includes performing object recognition of at least one …
Visual object tracking by correlation filters and online learning
Due to the complexity of background scenarios and the variation of target appearance, it is
difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation …
difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation …
Vehicle-logo recognition based on modified HU invariant moments and SVM
J Zhao, X Wang - Multimedia Tools and Applications, 2019 - Springer
As a part of the vehicle identification system, the logo recognition, while matching with the
license plate recognition, can be used to define the identity of the vehicle more accurately …
license plate recognition, can be used to define the identity of the vehicle more accurately …
Morphological background detection and illumination normalization of text image with poor lighting
G Wang, Y Wang, H Li, X Chen, H Lu, Y Ma, C Peng… - PLoS …, 2014 - journals.plos.org
In this paper, some morphological transformations are used to detect the unevenly
illuminated background of text images characterized by poor lighting, and to acquire …
illuminated background of text images characterized by poor lighting, and to acquire …
Part-based visual tracking with spatially regularized correlation filters
Abstract Discriminative Correlation Filters (DCFs) have demonstrated excellent performance
in visual object tracking. These methods utilize a periodic assumption of the training …
in visual object tracking. These methods utilize a periodic assumption of the training …
Single/cross-camera multiple-person tracking by graph matching
Single and cross-camera multiple person tracking in unconstrained condition is an
extremely challenging task in computer vision. Facing the main difficulties caused by the …
extremely challenging task in computer vision. Facing the main difficulties caused by the …
Investment behavior prediction in heterogeneous information network
The crowdfunding industry is growing rapidly worldwide and poses new challenges on how
to understand investment behavior. Indeed, a key challenge in this area is how to measure …
to understand investment behavior. Indeed, a key challenge in this area is how to measure …
Vehicles overtaking detection using RGB-D data
Y Xia, C Wang, X Shi, L Zhang - Signal Processing, 2015 - Elsevier
Outstanding breakthrough in traffic video surveillance has been made with the development
of computer vision techniques. However, there are still some problems to be solved due to …
of computer vision techniques. However, there are still some problems to be solved due to …
Joint compressive representation for multi-feature tracking
C Zhang, Z Li, Z Wang - Neurocomputing, 2018 - Elsevier
Multi-feature tracking is an interesting but challenging task. Many previous works just
consider the fusion of different features from identical spectral image or identical features …
consider the fusion of different features from identical spectral image or identical features …
Combining multi-representation for multimedia event detection using co-training
In recent years, multimedia event detection has been attracting extensive research attention
because of the exponential increase in volume of web video data. Traditional approaches …
because of the exponential increase in volume of web video data. Traditional approaches …