Automatic Detection and Tracking in Multi-Fisheye Cameras Surveillance

International Journal of Computer and Electrical Engineering
doi 10.17706/ijcee.2017.9.1.370-383
Full Text
Abstract

Available in full text

Date
Authors
Publisher

International Academy Publishing (IAP)

Related search

Study of Detection and Tracking Algorithms of Moving Objects in Video Sequences From Video Surveillance Cameras

2019English

Non-Overlapping Multi-Camera Detection and Tracking of Vehicles in Tunnel Surveillance

2011English

An Efficient Multiple Object Detection and Tracking Framework for Automatic Counting and Video Surveillance Applications

IEEE Transactions on Consumer Electronics
Electronic EngineeringMedia TechnologyElectrical
2012English

Multi-Person Tracking With Overlapping Cameras in Complex, Dynamic Environments

2009English

Review of Automatic Detection and Tracking of Abandoned Object

International Journal of Advance Engineering and Research Development
2017English

Multi-Cue Facial Feature Detection and Tracking

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

A Model Driven Framework for Automatic Detection and Tracking Inconsistencies

Journal of Software
2016English

Automatic Reconstruction of Neural Morphologies With Multi-Scale Tracking

Frontiers in Neural Circuits
Molecular NeuroscienceSensory SystemsNeuroscienceCellularCognitive Neuroscience
2012English

Deep Learning-Based Strategies for the Detection and Tracking of Drones Using Several Cameras

IPSJ Transactions on Computer Vision and Applications
Computer VisionPattern Recognition
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy