Description
Roadside Video Data Analysis, Softcover reprint of the original 1st ed. 2017
Deep Learning
Studies in Computational Intelligence Series, Vol. 711
Authors: Verma Brijesh, Zhang Ligang, Stockwell David
Language: EnglishSubject for Roadside Video Data Analysis:
Keywords
Feature extraction; Classified roadside objects; Roadside Fire Risk Assessment; Neural Network Learning; Support Vector Machine Learning; K-Nearest Neighbor Learning; Scene labeling; Cluster Learning; Vegetation biomass estimation; Hierarchical Learning; Fuzzy C-Means Learning; Probabilistic Learning; Ensemble Learning
126.59 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Verma Brijesh, Zhang Ligang, Stockwell DavidPublication date: 12-2018
Support: Print on demand
126.59 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Verma Brijesh, Zhang Ligang, Stockwell DavidPublication date: 05-2017
Support: Print on demand
Description
/li>Contents
/li>Biography
/li>Comment
/li>
1 Introduction
Background
Collection of Roadside Video Data
Industry Data
Benchmark Data
Applications Using Roadside Video Data
Outline of the Book
2 Roadside Video Data Analysis Framework
Overview
Methodology
Preprocessing of Roadside Video Data
Segmentation of Roadside Video Data into Objects
Vegetation, Roads, Signs, Sky
Feature Extraction from Objects
Classification of Roadside Objects
Applications of Classified Roadside Objects
Algorithms and Pseudocodes
3 Learning and Impact on Roadside Video Data Analysis
Neural Network Learning
Support Vector Machine Learning
K-Nearest Neighbor Learning
Cluster Learning
Hierarchical Learning
Fuzzy C-Means Learning
Region Merging Learning
Probabilistic Learning
Ensemble Learning
Deep Learning
4 Applications in Roadside Fire Risk Assessment
Scene Labeling
Roadside Vegetation Classification
Vegetation Biomass Estimation
5 Conclusions and Future Insights
Recommendations
New Challenges
New Opportunities and Applications
Highlights deep learning, to better understand roadside video data segmentation
Provides learning techniques based on concepts for roadside video data processing
Discusses fire risk assessment based on roadside vegetation biomass estimation
Includes supplementary material: sn.pub/extras