A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning

A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning

Abstract Multi activity-multi object recognition (MAMO) is a challenging task in visual systems for monitoring, recognizing and alerting in various public places, such as universities, hospitals and airports. While both academic and commercial researchers are aiming towards automatic tracking of hum...

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Bibliographic Details
Main Authors: Budi Padmaja, Madhu Bala Myneni, Epili Krishna Rao Patro
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:Journal of Big Data
Subjects:
Multi-activity
Human activity recognition
Computer vision
YOLO
Video sequences
Online Access:http://link.springer.com/article/10.1186/s40537-020-00296-8

Internet

http://link.springer.com/article/10.1186/s40537-020-00296-8

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