Moving Pedestrian Localization and Detection With Guided Filtering

Moving Pedestrian Localization and Detection With Guided Filtering

Detecting a moving pedestrian is still a challenging task in a smart surveillance system due to dynamic scenes. Locating and detecting the moving pedestrian simultaneously influences the development of an integrated but low-resource smart surveillance system. This paper proposes a novel approach to...

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Bibliographic Details
Main Authors: Kahlil Muchtar, Al Bahri, Maya Fitria, Tjeng Wawan Cenggoro, Bens Pardamean, Adhiguna Mahendra, Muhammad Rizky Munggaran, Chih-Yang Lin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Moving object analysis
pedestrian localization and detection
convolutional neural network (CNN)
integrated surveillance system
YOLO
Online Access:https://ieeexplore.ieee.org/document/9861648/

Internet

https://ieeexplore.ieee.org/document/9861648/

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