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 …

Visual object tracking by correlation filters and online learning

X Zhang, GS Xia, Q Lu, W Shen, L Zhang - ISPRS Journal of …, 2018 - Elsevier
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 …

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 …

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 …

Part-based visual tracking with spatially regularized correlation filters

D Zhang, Z Zhang, L Zou, Z Xie, F He, Y Wu, Z Tu - The Visual Computer, 2020 - Springer
Abstract Discriminative Correlation Filters (DCFs) have demonstrated excellent performance
in visual object tracking. These methods utilize a periodic assumption of the training …

Single/cross-camera multiple-person tracking by graph matching

W Nie, A Liu, Y Su, H Luan, Z Yang, L Cao, R Ji - Neurocomputing, 2014 - Elsevier
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 …

Investment behavior prediction in heterogeneous information network

X Zeng, Y Li, SCH Leung, Z Lin, X Liu - Neurocomputing, 2016 - Elsevier
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 …

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 …

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 …

Combining multi-representation for multimedia event detection using co-training

Y Bin, Y Yang, F Shen, X Xu - Neurocomputing, 2016 - Elsevier
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 …