Amanote Research

Amanote Research

    RegisterSign In

Co-Training of Context Models for Real-Time Vehicle Detection

doi 10.1109/ivs.2012.6232306
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2012

Authors
Alexander R. T. Gepperth
Publisher

IEEE


Related search

Real-Time Video Analysis for Vehicle Lights Detection Using Temporal Information

2007English

Real-Time Monitoring and Detection of Drinkdriving and Vehicle Over-Speeding

International Journal of Image, Graphics and Signal Processing
2017English

Real-Time Vehicle Tracking for Driving Assistance

Machine Vision and Applications
Pattern RecognitionHardwareComputer VisionComputer Science ApplicationsArchitectureSoftware
2010English

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

Electronics (Switzerland)
ControlElectronic EngineeringSignal ProcessingComputer NetworksSystems EngineeringHardwareCommunicationsElectricalArchitecture
2020English

Real-Time Simulation of Dynamic Vehicle Models Using High Performance Reconfigurable Computing Platforms

English

Ontology Models for Real Time Systems

Ontology of Designing
2018English

Real-Time Tracking and Fuel Monitoring System for Vehicle

International Journal of Trend in Scientific Research and Development
2018English

Real Time Services for Cloud Computing Enabled Vehicle Networks

IOSR Journal of Computer Engineering
2013English

Real-Time Face Detection

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy