Vehicle Detection Using Probability Fusion Maps Generated by Multi-Camera Systems

Journal of Information Processing
doi 10.2197/ipsjjip.17.1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Information Processing Society of Japan

Related search

Using Probability Maps for Multi–organ Automatic Segmentation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

Multi-Camera Tracking and Atypical Motion Detection With Behavioral Maps

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Real-Time Vehicle Detection Framework Based on the Fusion of LiDAR and Camera

Electronics (Switzerland)
ControlElectronic EngineeringSignal ProcessingComputer NetworksSystems EngineeringHardwareCommunicationsElectricalArchitecture
2020English

Obstacle Detection Using Monocular Camera for Low Flying Unmanned Aerial Vehicle

English

Vehicle Detection Based on Probability Hypothesis Density Filter

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2016English

Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking

2018English

Design Issues in Multi-Camera Systems

2011English

Predict Vehicle Collision by TTC From Motion Using a Single Video Camera

IEEE Transactions on Intelligent Transportation Systems
Automotive EngineeringComputer Science ApplicationsMechanical Engineering
2019English

Moving Object Detection on a Vehicle Mounted Back-Up Camera

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy