Object detection and tracking under Complex environment using deep learning‐based LPM

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...

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Bibliographic Details
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:
histograms of oriented gradients
colour histograms
stacked denoising autoencoders
MS tracking algorithm
LPM-based mean shift algorithm
local probability model
Online Access:https://doi.org/10.1049/iet-cvi.2018.5129

Internet

https://doi.org/10.1049/iet-cvi.2018.5129

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