A multi-object tracking method based on bounding box and features
F Liu, W Jia, Z Yang - Advances in Computer Science for Engineering and …, 2020 - Springer
Multi-object tracking is a key research problem in computer vision area, and with the fast
development of the deep learning based image and video processing algorithms, the …
development of the deep learning based image and video processing algorithms, the …
Robust object tracking method dealing with occlusion
Q Zhao, W Tian, Q Zhang, J Wei - 2016 3rd International …, 2016 - ieeexplore.ieee.org
This paper proposes a robust object tracking algorithm dealing with the occlusion problem
and illumination change. In particular, we judge whether each frame image is occluded by …
and illumination change. In particular, we judge whether each frame image is occluded by …
Novel Object Tracking Method Based on Bayesian Framework
QJ Zhao, J Wei, Q Zhang, Y Xu - Computer Science and Artificial …, 2018 - World Scientific
In order to solve the problem of object tracking in practical application, this paper proposes a
method of target tracking based on Bayesian framework. When the object appearance …
method of target tracking based on Bayesian framework. When the object appearance …
Small Signal Nonquasi-static Model for Common Double-Gate MOSFETs Adapted to Gate Oxide Thickness Asymmetry
N Sharan, S Mahapatra - … on VLSI Design and 2014 13th …, 2014 - ieeexplore.ieee.org
We present a physics-based closed form small signal Nonquasi-static (NQS) model for a
long channel Common Double Gate MOSFET (CDG) by taking into account the asymmetry …
long channel Common Double Gate MOSFET (CDG) by taking into account the asymmetry …