PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation

PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation

Articulation modeling, feature extraction, and classification are the important components of pedestrian segmentation. Usually, these components are modeled independently from each other and then combined in a sequential way. However, this approach is prone to poor segmentation if any individual com...

Full description

Bibliographic Details
Main Authors: Mohib Ullah, Ahmed Mohammed, Faouzi Alaya Cheikh
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Journal of Imaging
Subjects:
pedestrian
convolutional neural network
classification
long-skip
feature concatenation
spatio-temporal information
segmentation
Online Access:http://www.mdpi.com/2313-433X/4/9/107

Internet

http://www.mdpi.com/2313-433X/4/9/107

Similar Items