Object detection and movement tracking using tubelets and faster RCNN algorithm with anchor generation
Object detection in images and videos has become an important task in computer vision. It has been a challenging task due to misclassification and localization errors. The proposed approach explored the feasibility of automated detection and tracking of elephant intrusion along forest border areas....
Saved in:
Main Authors: | Mohandas, Prabu, Anni, Jerline Sheebha, Thanasekaran, Rajkumar, Hasikin, Khairunnisa, Azizan, Muhammad Mokhzaini |
---|---|
Format: | Article |
Published: |
Wiley
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/28026/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning approach regarding the classification and prediction of dog sounds: A case study of South Indian breeds
by: Mohandas, Prabu, et al.
Published: (2022) -
CROP PESTS DETECTION USING FASTER-RCNN
by: Esther, Wong Ching Ya
Published: (2023) -
Combining of transfer learning with faster-RCNN for Aedes Aegyti larvae detection
by: Mohd Fuad, Mohamad Aqil, et al.
Published: (2019) -
Multistage optimization using a modified Gaussian Mixture Model in sperm motility tracking
by: Alameri, Mohammed, et al.
Published: (2021) -
Algorithm for faster computation of non-zero graph based invariants
by: Abd. Hameed, Vazeerudeen, et al.
Published: (2014)