Person detection and tracking from aerial videos
In this study, a system that can detect and locate humans in video recordings collected by an unmanned aerial vehicle (UAV) was developed. Several machine vision algorithms were implemented. Lucas and Kanade optic flow computation and YUV color space conversion were used for feature point selection,...
Saved in:
Main Authors: | Garcia, Alghie Marie B., Rufino, Ma. Andrea V., Sangalang, Louie Carlo A., Teodoro, John Arcy R. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2014
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/11042 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Visual simultaneous localization and mapping co-operating unmanned aerial vehicles
by: Cornejo, Juan Raphael M., et al.
Published: (2014) -
A remote-controlled aerial and aquatic drone
by: Ong, Mervin Carson L., et al.
Published: (2017) -
Visual simultaneous localization and mapping for co-operating unmanned aerial vehicles
by: Cornejo, Juan Raphael M., et al.
Published: (2015) -
Genetic algorithm based 3D motion planning for unmanned aerial vehicle
by: Rivera, Maverick C., et al.
Published: (2019) -
Killing New Vistas with the Over-Regulation of Recreational 'Drone' Use
by: CHEN, Siyuan
Published: (2015)