Object detection and tracking under Complex environment using deep learning‐based LPM
Object detection and tracking under complex environment are challenging because of the disturbances induced by background clutter, illumination changes, occlusions and other factors. The bulk of traditional algorithms basically rely on hand‐crafted features, which are not sufficiently robust to a co...
Main Authors: | Yundong Li, Xueyan Zhang, Hongguang Li, Qichen Zhou, Xianbin Cao, Zhifeng Xiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-03-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2018.5129 |
Similar Items
-
Multi‐scale mean shift tracking
by: Wangsheng Yu, et al.
Published: (2015-02-01) -
Model Update Particle Filter for Multiple Objects Detection and Tracking
by: Yunji Zhao, et al.
Published: (2012-09-01) -
Abnormal event detection based on local topology and l<sub>1/2</sub>norm regularize
by: Qing YU, et al.
Published: (2018-10-01) -
Abnormal event detection based on local topology and l<sub>1/2</sub>norm regularize
by: Qing YU, et al.
Published: (2018-10-01) -
Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging
by: Jianguo Yang, et al.
Published: (2025-03-01)