Two-stage multiple object detection using CNN and correlative filter for accuracy improvement

Two-stage multiple object detection using CNN and correlative filter for accuracy improvement

Recent advancements in tracking methods, particularly correlative-filter-based methods, can be utilized to support object detection to achieve the desired accuracy and speed. This is especially beneficial to aid a weak object detection model that results from the transfer learning concept trained on...

Full description

Bibliographic Details
Main Authors: Fabiola Maria Teresa Retno Kinasih, Carmadi Machbub, Lenni Yulianti, Arief Syaichu Rohman
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Heliyon
Subjects:
Accuracy
Correlative filter tracker
Convoluted neural network-based object detection
Method combination
Movement distance score
YOLO v7 transfer learning model
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402204004X

Internet

http://www.sciencedirect.com/science/article/pii/S240584402204004X

Similar Items